ABOUT US
ABOUT US
Focus Global Talent Solutions is a specialty IT staffing firm with a focus on three core areas of technology. The sectors we focus on are Artificial Intelligence and Data Science, Digital Marketing Technology, Analytics and Business Intelligence. Founded by Dave Fox, who has been working in the IT staffing space since 2010, Focus GTS brings a creative and consultative approach to helping both our clients and candidates. We understand finding the right talent (especially in a niche area) can be extremely difficult and navigating the waters of finding a new job can be challenging. Our mission is to make recruitment as painless and efficient as possible. It's that attitude that will shine through in every interaction with a member of our team.
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Data Engineer
SUMMARY: The Data Engineer plays a pivotal role in operationalizing the most urgent data and analytics initiatives for the Bank's digital business initiatives by building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned. Design, create and maintain data pipelines will be the primary responsibility of the data engineer. Drive automation through effective metadata management. Assist with renovating the data management infrastructure to drive automation in data integration and management. Utilize modern data preparation, integration and AI-enabled metadata management tools and techniques. Track data consumption patterns. Perform intelligent sampling and caching. Monitor schema changes. Recommend and automate integration flows. Senior Level Responsibilities Work with data science teams and with business (data) analysts to refine their data requirements for various data and analytics initiatives. Propose appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques. Train counterparts such as data scientists, data analysts, LOB users or any data consumers in data pipelining and preparation techniques. Ensure that data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives. Participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse. Become a data and analytics evangelist by promoting the available data and analytics capabilities and expertise to business unit leaders and educating them in leveraging these capabilities in achieving their business goals. Qualifications/Competencies To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education EDUCATION and/or EXPERIENCE: A bachelor's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field is required. An advanced degree in computer science (MS), statistics, applied mathematics (Ph.D.), information science (MIS), data management, information systems, information science (post-graduation diploma or related) or a related quantitative field or equivalent work experience is preferred. The ideal candidate will have a combination of IT skills, data governance skills, analytics skills and banking domain knowledge with a technical or computer science degree Experience At least six years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks. At least three years of experience working in cross-functional teams and collaborating with business stakeholders in the banking business domain, in support of a departmental and/or multi-departmental data management and analytics initiative. Must Also Possess The Following Strong experience with advanced analytics tools for object-oriented/object function scripting using languages such as R, Python, Java, and Scala Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management. The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows. Strong experience with popular database programming languages including SQL and PL/SQL for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases like MongoDB and Cassandra for nonrelational databases. Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include ETL/ELT, data replication/CDC, message-oriented data movement, API design and access and upcoming data ingestion and integration technologies such as stream data integration, CEP and data virtualization. Strong experience in working with SQL on Hadoop tools and technologies including HIVE, Impala, Presto and others from an open source perspective and Hortonworks Data Flow (HDF), Dremio, Informatica, Talend among others from a commercial vendor perspective. Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production. Strong experience in working with both open-source and commercial message queuing technologies (Kafka, JMS, Azure Service Bus, Amazon Simple queuing Service), stream data integration technologies such as Apache Nifi, Apache Beam, Apache Kafka Streams, Amazon Kinesis, others and stream analytics technologies (Apache Kafka, KSQL, Apache Spark). Basic experience working with popular data discovery, analytics and BI software tools like Tableau, and OBI for semantic-layer-based data discovery. Strong experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms. Basic experience in working with data governance teams and specifically business data stewards and the CISO in moving data pipelines into production with appropriate data quality, governance and security standards and certification. Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service and others. Proficiency in agile methodologies and the capability of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization Deep domain knowledge or previous experience working in the banking business would be a plus. COMMUNICATION/LANGUAGE SKILLS: Ability to speak, read and write in the English language; Spanish (or other languages) helpful. Ability to read and comprehend simple instructions, short correspondence and memos; write simple correspondence; and effectively present information in one-on-one and small group situations to customers, clients, & other employees of the organization. MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals; and compute rate, ratio, and percent; and to draw and interpret bar graphs. An understanding of higher mathematical concepts may be required for specific departments. REASONING AND ANALYSIS ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form; and deal with problems involving several concrete variables in standardized situations. Interpersonal Skills Strong experience supporting and working with cross-functional teams in a dynamic business environment. Required to be highly creative and collaborative. An ideal candidate would be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production. Required to have the accessibility and ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company. Is a confident, energetic self-starter, with strong interpersonal skills. Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
/ Miami, United StatesData Scientist
SUMMARY: The Data Scientist is part of our newly formed Analytics Center of Excellence (CoE). This dynamic team of talented professionals is tasked with the development of a comprehensive advanced analytics infrastructure for the purpose of delivering high value analytic solutions and/or tools to enable data-driven strategic decision-making. The team operates in an Agile-based fast paced environment. Every team member is expected to be highly analytical, collaborative, creative and have strong communication skills. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned. Develops software code and/or algorithms to explore, extract, clean, integrate and otherwise prepare data for consumption into models or business intelligence (BI). Works collaboratively with other data scientists and team members to develop statistical or machine learning models for a variety of applications across the bank. Helps translate business questions into quantitative methods used to answer them and support data-driven strategic decision making. Develops advanced BI dashboards and visualizations. Presents complex concepts in a format digestible by a diverse audience across the organization. Helps advance the team's continued education in advancements in data science, techniques and practices. QUALIFICATIONS/COMPETENCIES To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION, EXPERIENCE and SKILLS: Degree in a STEM field (Advanced degree preferred) with particular emphasis on coursework or experience using statistical models. Prior relevant work experience preferred, but recent graduates will also be considered. Advanced knowledge and expertise in predictive modeling, toolsets and machine learning. Proficiency in programming languages, particularly R, Python and SQL. Experience with visualization tools such as Tableau. Solid knowledge of current technology data architecture, particularly data lakes and cloud environments. Ability to understand the business context and value derived from the various business cases undertaken. Strong interpersonal skills to manage relationships across different divisions within the entire company. Strong communication skills (both verbal and written) with the ability to articulate complex concepts into a format digestible by a diverse audience. Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever changing work pace with a focus on accuracy and attention to detail. DESIRED QUALIFICATIONS AND SKILLS: Direct experience working on the Amazon Web Services (AWS) analytics platform. Experience in financial services. Prior experience working in an Agile framework. CERTIFICATES, LICENSES, REGISTRATIONS: Agile / Scrum Master preferred Amazon Web Services (AWS) Professional certification preferred Formal Credit Training is recommended
/ Miami , United StatesAEM Project Manager
In the role of Project Manager, you will be responsible for Coordinating with the transition team, plan and monitor the resource deployment, review the daily operations dashboard, staff planning, work allocations, governance adherence and interacts with the client with the objective to deliver target delivery model, ensure delivery predictability and enhance client satisfaction for the processes within the guidelines. They are looking for someone with high energy. It is a large company with opportunity for growth Some responsibilities include: •Work closely with the client AVP to understand their expectations and coordinate with necessary stakeholders to drive the desired outcomes • Demonstrate flexibility in a changing environment and a willingness to work with internal and external stakeholders • Act as the single point of contact for digital client • Responsible for onsite delivery including managing the content implementation team • Drive process improvements and technology discussions with IT teams • Must work onsite at client location for this position is Benton Harbor, MI Qualifications Basic • Professional working knowledge of Adobe Experience Manager (AEM) – authoring, publishing and understanding of technical components • Experience as a project manager or technical lead in the digital domain • Experience managing direct reports • Problem solving abilities • Professional written and verbal communication Skills Analytical skills Preferred experience • Expertise of content management systems such as AEM, CQ, WordPress, SAP Hybris, Adobe Suite, Analytics
/ Benton Harbor, United StatesDirector of Data Science
SUMMARY: Reporting to the Director of Enterprise Analytics, the Director of Data Science and Engineering is part of BankUnited's newly formed Analytics Center of Excellence (CoE). This dynamic team of talented professionals is tasked with the development of a comprehensive advanced analytics infrastructure for the purpose of delivering high value analytic solutions and/or tools to enable data-driven strategic decision-making. The successful candidate will assume tactical leadership of a team of data scientists and engineers. The team operates in an Agile-based fast paced environment. Every team member is expected to be highly analytical, collaborative, creative and have strong communication skills. The successful candidate will have experience managing complex multidisciplinary projects integrating various aspects of cloud and data technology with analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned. Leadership • Tactical hands on leadership of a team of data scientists and data engineers. • Coaches other team members, shares knowledge and leads occasional enterprise wide educational efforts. Modeling / Analytics • Mines data sets and leverages advanced analytics / predictive modeling techniques to develop models or otherwise gain insights. • Develops test plans, ensures results accuracy from both a methodology and statistical standpoint. • Helps visualize results in an informative, business friendly way to assist in strategic decision-making. Partnership • Works collaboratively with team members and stakeholders from various parts of the organization (primarily IT) to advance the development of the analytics platform as well as to improve the existing data infrastructure needed to support the above initiatives. Qualifications/Competencies To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION And/or EXPERIENCE • Bachelor's degree in a STEM field, Advanced degree preferred. • 6+ years relevant experience, preferred • Advanced knowledge and expertise in predictive modeling, toolsets and machine learning. • Demonstrated track record of successfully managing large scale multidisciplinary projects. • Proficiency in programming languages, particularly R, Python and SQL. • Experience with visualization tools such as Tableau. • Solid knowledge of current technology data architecture, particularly data lakes and cloud environments. • Ability to understand the business context and value derived from the various business cases undertaken. • Strong interpersonal skills to manage relationships across different divisions within the entire company. • Strong communication skills (both verbal and written) with the ability to articulate complex concepts into a format digestible by a diverse audience. • Ability to work under pressure, meet deadlines, manage competing initiatives and adapt to an ever changing work pace with a focus on accuracy and attention to detail. Desired Qualifications And Skills • Direct experience working on the Amazon Web Services (AWS) analytics platform. • Experience in financial services. • Prior experience managing direct reports. • Prior experience working in an Agile framework. Certificates, Licenses, Registrations • Agile / Scrum Master preferred • Amazon Web Services (AWS) Professional certification preferred. COMMUNICATION/LANGUAGE SKILLS: Ability to speak, read and write in the English language; Spanish (or other languages) helpful. Ability to read and comprehend simple instructions, short correspondence and memos; write simple correspondence; and effectively present information in one-on-one and small group situations to customers, clients, & other employees of the organization. MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals; and compute rate, ratio, and percent; and to draw and interpret bar graphs. An understanding of higher mathematical concepts may be required for specific departments. REASONING AND ANALYSIS ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form; and deal with problems involving several concrete variables in standardized situations. Interpersonal Skills • Strong experience supporting and working with cross-functional teams in a dynamic business environment. • Required to be highly creative and collaborative. An ideal candidate would be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. The successful candidate will also be required to have regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production. • Required to have the accessibility and ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company. • Is a confident, energetic self-starter, with strong interpersonal skills. • Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity
/ Miami Lakes, United StatesData Scientist- Revenue Management
Position Summary: The Data Scientist, Revenue Management is responsible for support the development of all decision support tools/models used by revenue management team and for executing them efficiently. This employee will also perform regular statistical analysis and present results to senior leadership in a business format to assist in decision making and analysis. Essential Duties and Responsibilities: Design and develop models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest (e.g., APD optimization, Load Factor optimization, Cabin mix, channel mix) Design rich data visualizations to communicate complex ideas to internal and external teams. Execute various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation, Implementation and Maintenance. Collaborate with other analytical teams in the company and IT to design, and implement analytical projects Continuously seek out opportunities to further develop our analytical, engineering, statistical, etc. toolkit & team Qualifications: Bachelor’s degree from four-year College or university required (in Operations Research, Industrial Engineering, Statistics, Management Science or related field). Candidate shall have demonstrated 1 to 3 years of (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical analysis techniques typical to exploratory data analysis. Equivalent combination of education and experience will be considered. Strong problem solver and natural curiosity to learn Candidate shall possess the necessary skills to write scripts in R or Python to conduct exploratory and advanced statistical analyses Candidate shall possess the skills necessary to clean and wrangle data Candidates shall possess the skills necessary to extract data from data warehouses. Candidate shall possess excellent oral and written communication skills with emphasis on complex technical and statistical topics and effectively communicating details with all levels of management Ability to contribute in multiple projects simultaneously with deadlines and manage changing priorities with minimal supervision and intervention
/ Miami, United StatesQA Manager
Responsibilities: Manage a multifunctional team of manual and automation QA Engineers responsible for web and mobile applications and the data platform supporting them. Define quality procedures, always putting the end user experience foremost Define the tools and scope for automated testing Develop performance testing approach for data platforms and web/mobile applications Ensure test strategy and procedures are properly created, understood, carried out, and evaluated Align, communicate, and socialize department vision and goals Manage and create resourcing plans, reports, and expectations around product quality Communicate project status and escalate issues to engineering and architecture leads Work closely with product teams to define and achieve sprint goals Coach, mentor and enable QA Engineers Qualifications: Strong sense of team ownership and accountability, strong ability to prioritize Knowledge of how to position QA as a service Skill and familiarity testing tools and bug/test case management software Working knowledge of processes, and principles for web/mobile applications and data platforms Experience testing ETL processes and ensuring data quality is a must Experience with AWS solutions is a plus 4+ years QA management experience Proven track record that shows personal career growth Experience in JIRA, Confluence, Jenkins, etc is a plus Agile experience is a must
/ New York City, United StatesBig Data Developer
Big Data developer requirements: We are looking for Big Data developer with strong expertise in Spark, Scala and PySpark. Experience with Hadoop configuration and maintenance is a plus. Solid experience of Hive, Sqoop, Hadoop and ETL processes. Ability to lead, guide and mentor junior developers. Required Skills: • Strong expertise in Apache Spark using Scala and PySpark is mandatory • Experience in Hive, Sqoop, noSQL databases are required • Strong SQL, Python and shell scripting • Working with Apache Kafka expertise is required • Working experience in Oracle, SQL Server and other major databases • Hadoop Admin is a plus Required Experience: • Spark: 4 years (Preferred) • Scala: 4 years (Preferred) • Big Data: 5 year (Preferred) • Software Development: 9 years (Preferred) • Hadoop Admin using Hortonworks, Claudera or MAPR is plus
Contract / Coral Gables, United StatesSenior ETL Informatica Developer
Job Summary: Work with multiple data warehouse efforts with minimal supervision. Gather, analyze and understand business requirements. Develop, validate and implement efficient ETL code for data integration layers (data warehouse or data marts) to deliver multiple projects. Optimize the data environment for efficient data access and monitor performance of data warehouse ETL processes to ensure service level agreements with our users are met and implement tuning as needed. Manage the ETL processes and Informatica environments. Follow best practice, guidelines/procedures and naming conventions with enterprise-wide data collection and extraction. Work closely with database administrators and Unix engineers with database and infrastructure installations, designs and maintenance. Provide production support for all ETL processes. Plan and support lifecycle of data warehousing infrastructure components including database, operating system, ETL tools and various vendor products. Maintain and manage technical meta data and documentation for data warehousing and ETL processes. Serve as subject matter expert on assigned projects, production support areas and knowledge transfer to other team members. Essential Job Functions: 1. Be responsible for translating business needs into technical solutions and specifications, and designing relational and/or dimensional models or flat files to meet project requirements. Perform source system data profiling including structure, data and relationship discovery; be responsible for understanding source system database structures and underlying data and knowledge transfer expertise to DW team members 2. Develop, manage and update conceptual, logical, and physical data models; evolve existing models to meet new and changing business requirements 3. Design, develop, maintain, test and modify ETL (Extraction, Transformation and Loading) processes with efficiency, best practices, naming conventions and ease of maintenance in mind; ensure quality and accuracy of the delivered data; ensure SLA (Service Level Agreement) with clients are met 4. Document ETL technical design process, high level and detailed meta data and reconciliation process; update DW production Informatica and Big Data job schedule document and document production issues and resolutions within On Call Tips 5. Provide production support for all existing DW applications; respond to job failure related text page and/or emails in timely manner for critical DW applications 6. Scope, plan, prioritize and manage multiple tasks and projects; improve efficiency by working on other assigned tasks/projects while waiting for information on certain project(s) 7. Determine approaches to solutions, troubleshoot and maintain ETL processes with minimal guidance from team leads and supervisor 8. Follow project methodology of DW full development life cycles, prepare estimate and duration for development tasks and activities; provide bi-weekly project status to management on time; adhere to ETL development/migration standards by following ETL code review process on SharePoint and change control policies and procedures by submitting required documents in System Center for Service Manager (SCSM) 9. Plan and support lifecycle of DW infrastructure components including database, operating system, ETL tool and other vendor products with guidance from team leads and supervisor; participate in migrations and upgrades; monitor performance of ETL processes and implement tuning as needed with guidance from team leads 10. Maintain a positive work environment by acting and communicating in a manner which facilitates the success of business operations in order to meet company demands and expectations
Contract / Coral Gables, United StatesCRM Business Analyst (Salesforce)
Client: CONFIDENTIAL Title: CRM Business Analyst (Salesforce) Location: New York, NY Type: Contract to Perm Salary: Based on Experience Here are some of the qualifications we are looking for. Functions: Creating detailed requirements documents using the appropriate templates and/or analysis tools. Performing 1st and 2nd level support for the CRM SalesForce, SalesForce Marketing Cloud, Wave Reporting, and Forms Tool systems. Following up regularly with the user community to identify system issues and requirements. Working with business unit personnel to prioritize work accordingly. Meeting with developers to review system requirements Testing systems and enhancements before presenting to the user community Conducting user acceptance testing when implementing functionality, bug fixes, or new systems Handling multiple analyst assignments concurrently Preparing user training documentation & performing one-on-one or group training sessions with users Experience and Skills 3-5 years experience in a professional business environment/providing system support Bachelor’s degree in Information Technology preferred but not required Salesforce Marketing Cloud experience preferred Demonstrated self-starter who can complete projects with minimal supervision Strong written and verbal communication skills -Ability to write a complete, detailed requirements document that describes a significant enhancement or new system area -The ability to communicate effectively via email with business users, team members, and other IT groups Ability to interact well with business users at different levels within the organization Excellent at setting user expectations regarding general system support as well as for enhancements & bug fixes Keen prioritization skills and the ability to handle multiple tasks or projects concurrently Ability to work well in a collaborative, team-oriented environment Ability to work in a high-pressure environment and meet critical deadlines
/ Manhattan, United StatesSenior Machine Learning Engineer
Raymond James is looking for a Senior Machine Learning Engineer to join its Data Science team. This individual will be responsible for architecting, designing and building enterprise-scale machine learning applications as a core service. This will include taking models developed by data scientists and integrating it in with the rest of the company’s platform. The goal will be to bring machine learning and optimization models into production together with a highly multi-disciplinary team of data scientists, data engineers, business analysts, strategic partners, product managers and domain experts. This is a new role within the organization, so the desire and ability to quickly ramp up and grow into a technical lead as we continue to build out the team will be crucial for long term success. Responsibilities: Partners with data scientists, data engineers, analysts, subject matter experts and business stakeholders to operationalize models and deliver insights to the business. Architects platforms which are highly modular, scalable, and responsive; and that serve as a foundation for building key enterprise Data Science components. Ensures that the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshoots issues that arise. Automates model training and testing and deployment via machine learning continuous delivery pipelines. Builds data APIs and data delivery services that support critical operational and analytical applications for internal business operations, customers and partners Involved in all aspects of SDLC process from requirements, design, and build through deployment. Translates business requirements into working foundational components for platform thus ensuring functional and non-functional aspects are met. Defines strategic direction and develops tactical plans. Works with application and infrastructure teams to provision platform components. Effectively identifies opportunities for change, implements change and introduces new concepts, procedures, policies and tools while providing a clear explanation of benefits and purpose. Documenting architectural standards, best practices and mentoring application teams on developing highly distributed, resilient and responsive applications. Serves as the primary point of contact on the most complex or escalated issues and may provide direction and guidance to team members. Understands and incorporates best practices in security and data protection. Qualifications Minimum of a B.S/M.S. in Computer Science, Electrical Engineering or related degree and five to seven (5-7) years of related experience or a combination of education, training and experience. Seven to Ten (10) years of experience in architecting and building high performance enterprise scale applications strongly preferred. Experience with design patterns and implementation and deployment AI and/or data science products. Expertise in the use of a variety of classic and modern machine learning techniques including clustering, decision trees, classification, regression and neural networks/deep learning. Expertise in mining complex data (including structured and unstructured), identifying patterns, and feature engineering Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, scikit-learn, Spark ML/MLlib, etc.) Highly experienced with back-end programming languages and associated frameworks (Python/Flask preferred). Proficient in the use of front-end programming languages (HTML, CSS, JavaScript) and familiarity with common javascript libraries (d3) and frameworks. Experience with distributed version control systems and tools (Github/Git) and with automating application deployment, continuous delivery, and continuous integration (Jenkins) Experienced with deploying and managing infrastructures based on Docker or Kubernetes, and cloud platforms such as Azure, AWS or Google Cloud Platform. Experience in designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka) Knowledge of data engineering and experience with profiling and optimizing large scale data processing systems; Familiarity with Linux and scripting languages. Proficiency with SQL and NoSQL databases Experience implementing and integrating with RESTful API services (preferred) Licenses/Certifications: None required.
/ St. Petersburg, United StatesSenior Architect, Platform Engineering
Senior Architect, Platform Engineering As the Senior Architect on the Platform team, you’ll be creating tools, processes, automation and scripting that will support our product teams in building and delivering high quality features faster, more reliably while minimizing coordination with other product teams. In this position, you’ll be collaborating with other Senior Architects and product owners that represent different product groups to define and build tools, libraries, deployment scripts and CLI’s that increase each team’s productivity. Success in this position will allow the individual product teams to focus on building features without worrying about the underlying infrastructure. You will also participate in identifying and building shared services that enable the self-service usage of product teams. This includes data API’s as well as developer tools that will increase the productivity of the entire organization. Qualifications: Experience architecting solutions that incorporate common methods and approaches for common, cross-cutting concerns (logging, security, monitoring, data access etc) Must thoroughly understand automated testing concepts and frameworks Knowledge of best practices in designing and running GraphQL servers in production Hands-on experience in correctly writing and maintaining unit, integration, end-to-end and snap-shot tests on both client and server code Experience building CI/CD pipelines that incorporate the entire development lifecycle Establish common boilerplates, patterns and practices across teams to improve consistency and interoperability Experience in the Apollo Platform for building GraphQL servers and clients Comfortable functioning as a subject-matter expert in DevOps and cloud computing as it relates to CI/CD pipelines Active contributor to one or more open source projects Comfortable working in terminal shell scripting Requirements: 3+ years of experience building CI/CD pipelines which incorporate the dev, test, deploy lifecycle seamlessly 5+ years working in scripting and automation frameworks across multiple platforms 5+ years designing, deploying, and supporting production cloud environment in the AWS ecosystem 3+ years of experience building reusable libraries in Javascript and deploying them to NPM 5+ years of experience building, deploying and operating cloud-native applications in AWS or other cloud providers Significant experience in at least 2 of the following technologies: MongoDB, NodeJS, GraphQL, Java, Adobe Experience Manager, Jenkins / BitBucket Pipelines, Apollo Platform
/ Miami, United StatesKnowledge Graph Developer
Essential Duties and Responsibilities: A successful candidate will have hands-on experience with graph database and web applications and the desire to work in a high performing and faced-paced team. Excellent analytical and problem-solving skills are a must as well as a track record of taking complex concepts and implementing practical solutions. Major responsibilities include: Lead the design, development, testing, and deployment of a graph database solution. Design and develop graph data models in accordance with leading practices for our use cases. Work with system owners and data engineers to identify and integrate with data sources used to hydrate the knowledge graph. Create and manage queries to pull insights from the knowledge graph. Optimize for high performance, efficiency, scalability, and stability of the database. Define the database architecture and development best practices. Assume the role of a trusted-advisor, offering technical insights to the team and business stakeholders. Qualifications: Basic Qualifications BS degree in Computer Science or related technical field, or equivalent practical experience. 4+ years of proven working experience as a software developer or data engineer. Strong track record of delivery using graph databases such as Neo4j, TitanDB or OrientDB. Fluency with graph query languages such as Gremlin, Cypher, SPARQL. Preferred Qualifications Experience in designing, creating and maintaining recommendation engines. Experience in Java / Scala development. Knowledge of a scripting language like Python or Ruby. Strong experience with RESTful API interfaces and microservice architectures. Knowledge of statistics and experience using statistical packages for analyzing large datasets (R, Excel, SPSS, SAS etc) Experience with Microsoft Azure or Amazon Web Services (AWS) Experience with Agile software development. Knowledge and Skills: The ideal candidate has: Experience in developing knowledge-based systems in different contexts such as information retrieval, intelligent agents, dialog systems and recommendation systems. Experience in scalability and performance issues concerning very large knowledge stores. Experience with information extraction through creation of an application layer. Experience developing REST / JSON applications and multi-threaded applications. Strong background in computer science: algorithms, data structures, concurrency, and distributed systems. Strong OO Programming and OO Design knowledge. Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Technical capabilities with Cloud Services and Micro Services Patterns, API Management, Azure and AWS Services. Strong communication (verbal and written) and collaboration abilities in addition to technical depth. Comfortable delivering within an agile program.
/ Miami, United States