Previous Job
Previous
Senior Data Engineer - RTH
Ref No.: 19-00622
Location: Holmdel, New Jersey
Position Summary:

This position will be responsible for implementing and maintaining the enterprise wide data management solutions for certified analytics and reporting rectangles (CARRs) and data assets. This includes the analysis, design, development, testing, implementation, and initial maintenance of the solution and acting as interface with SME/Product owners and enterprise data analytics team, by taking a holistic approach for delivering reusable CARRs and data assets enabling data solutions.

Responsibilities:
  • Lead the design, build and execution of post source system extraction and data lake ingestion and business transformation, CARR creation framework and development processes in production
  • Enhance analytic environments and platform required for structured, semi-structured and unstructured data
  • Develop data quality metrics that identify gaps and ensure compliance with Enterprise wide standards
  • Provide technical guidance for projects and team members, along with SMEs and product owners
  • Build data pipelines to feed descriptive and predictive analytics use cases, KPI and enterprise wide reporting
  • Interface with architects, product managers/SMEs and product analysts to understand data needs and implement the business rules into transformation
  • Document the data blending process along with the specifications and workflow/data lineage and automate the end-to-end process
  • Maintain/add to existing data dictionaries and work with UI team for creating the profiling platform and data profiling for already created CARRs
  • Lead the execution of project-based governance processes

Competencies/Skills/Knowledge:
  • BS or MS in Management Information Systems, Computer Science or a related field
  • 7+ years data management experience
  • Proficient programming capability in Python, SQL/NoSQL and Unix/Shell scripting, as well as in data engineering, databases (e.g., SQL, MongoDB), platform architecture and ETL concepts
  • Amazon Web Services experience
  • Excellent communication and collaboration skills to work across multiple groups within the organization
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Expert knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operation