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Data Engineer - RTH
Ref No.: 19-00623
Location: Holmdel, New Jersey
Position Summary:

This position will be responsible for assisting with the implementation and maintenance of the enterprise wide data management solution 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 CARR's and data assets enabling data solutions.

  • Support 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 support for projects and team members, along with SME's and product owners
  • Build data pipelines to feed descriptive and predictive analytics use cases, KPI and enterprise wide reporting
  • Interface with architects, product managers/SME's and product analysts to understand data needs and support the implementation of the business rules and transformation
  • Document the data blending process along with the specifications and workflow/data lineage
  • Maintain/add to existing data dictionaries and work with UI team for creating the profiling platform and data profiling for already created CARRs
  • Execute project-based data governance processes

  • BS or MS in Management Information Systems, Computer Science, or a related field
  • 4-6 years data management experience
  • Programming capability in Python, SQL/NoSQL and Unix/Shell scripting, as well as in data engineering, databases (e.g., MongoDB), platform architecture and ETL concepts
  • Amazon Web Services experience
  • Excellent communication and collaboration skills to work across multiple groups within the organization
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operation