Massachusetts Jobs

Job duties: Expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. Perform data architecture analysis, design, development, and testing to deliver data applications, services, interfaces, extract, transform, and load (ETL) processes, reporting and other workflow and management initiatives. Work closely with the business, data analysts, and IT teams to support on data strategy initiatives and will ensure optimal data delivery architecture is consistent throughout the strategy. Follow modern Software Development Life Cycle (SDLC) principles, test driven development, source code reviews, and change control standards to maintain compliance with policies. Design and develop enterprise data and data architecture solutions using Java, J2EE, Hadoop and other data technologies like Spark, Scala, Python, and SQL. Assemble large, complex data sets that meet functional and non-functional business requirements. Create and maintain optimal data pipeline architecture. Devise and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality. Partner with business leaders to determine and prioritize delivery initiatives. Define or influence system, technical and application architectures for major areas of development. Devise and execute in software development life cycle including requirements gathering, development, testing, release management, and maintenance. Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes and challenges on a regular basis. Perform analytical programming in enterprise data warehouse (EDW) architecture to bridge the gap between a traditional database architecture and a Hadoop centric architecture. Requirements: Bachelors degree (U.S. or foreign equivalent) in Computer Science, Information Science, Computer or Electronics Engineering, or a related computational and quantitative analytical field plus eight (8) years of experience as a member of an information technology team. Prior experience must include three (3) years of the following: data modeling, complex data structures, data processing, and data quality and data lifecycle; working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases; performing root cause analysis on internal and external data and processes to provide solution for specific business requirements; performing UNIX shell scripting, batch scheduling, and version control tools; working in large scale server-side application development that includes the design and implementation of high-volume data processing jobs; ensuring appropriate change management and other technology methodologies are carried out on a consistent basis over time; advanced working knowledge and experience in the areas of Data Management, Business Intelligence (BI) Architecture, Product Development, relational database management system (RDBMS), and non-RDBMS platforms; leveraging analytical skills to recognize data patterns and troubleshoot the data; designing and delivering data solutions to empower data migration initiatives, BI initiatives, and dashboards development; and working in Insurance Domain. Prior experience must include two (2) years of the following: utilizing Python, Core Java, Cloudera, AWS Technologies, Rest API, Microservices, Spring Boot, and Spring cloud; and building and optimizing big data data pipelines, architectures, and data sets. Please email resumes to ResumesGAFC@gmail.com. Please specifically include reference code \"C#7704029\" in the subject line of your email when applying. EEO/AA EMPLOYER/Veterans/Disabled.