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Sr. Data Engineer

Job Description

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

Job Requirements

  • 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

Job Snapshot

Location US-NJ-Holmdel
Employment Type Contract to Hire
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

Atlantic Partners Co.

Atlantic Partners was created with the clear objective of providing the most comprehensive IT staffing solutions, along with a robust executive search division. From staff augmentation to contract for hire to direct placement, Atlantic Partners offers a full range of staffing options. With over 100 years of experience, our team of account executives and technical recruiters has a proven track record of fulfilling the human capital needs of our clients. Learn More

Contact Information

US-NJ-Holmdel
Adam Segal
5613142223
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Snapshot
Atlantic Partners Co.
Company:
US-NJ-Holmdel
Location:
Contract to Hire
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

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

Job Requirements

  • 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
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Sr. Data Engineer Apply now