Banking

Data Engineer

Contract

Strategic Staffing Solutions

Data Engineer

Location: Charlotte, NC
Pay:  $70+/hr – W2 ONLY
Duration:  12 Month Contract

Description:

The primary role of the Data Engineer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the company’s objectives. They are responsible for the design and development of data/batch processing, data manipulation, data mining, and data extraction/transformation/loading into large data domains using Python/Pyspark and AWS tools.

Responsibilities:

  •   Provide scoping, estimating, planning, design, development, and support services to a project.
  •   Identify and develop the technical detail design document.
  •   Work with developers and business areas to design, configure, deploy, and maintain custom ETL Infrastructure to support project initiatives.
  •   Design and develop data/batch processing, data manipulation, data mining, and data extraction/transformation/loading (ETL Pipelines) into large data domains.
  •   Document and present solution alternatives to clients, which support business processes and business objectives.
  •   Work with business analysts to understand and prioritize user requirements.
  •   Design, development, test, and implement application code.
  •   Follow proper software development lifecycle processes and standards.
  •   Quality Analysis of the products, responsible for the Defect tracking and Classification.
  •   Track progress and intervene as needed to eliminate barriers and ensure delivery.
  •   Resolve or escalate problems and manage risk for both development and production support.
  •   Coordinate vendors and contractors for specific projects or systems.
  •   Maintain deep knowledge and awareness of technical & industry best practices and trends, especially in technology & methodologies.

Skills and Knowledge:

  •   Developer experience specifically focusing on Data Engineering.
  •   Hands-on experience in Development using Python and Pyspark as an ETL tool.
  •   Experience in AWS services like Glue, Lambda, MSK (Kafka), S3, Step functions, RDS, EKS etc.
  •   Experience in Databases like Postgres, SQL Server, Oracle, Sybase etc.
  •   Experience with SQL database programming, SQL performance tuning, relational model analysis, queries, stored procedures, views, functions, and triggers.
  •   Strong technical experience in Design (Mapping specifications, HLD, LLD), Development (Coding, Unit testing).
  •   Knowledge in developing UNIX scripts, Oracle SQL/PL-SQL.
  •   Experience with data models, data mining, data analysis and data profiling.
  •   Experience in working with REST API’s.
  •   Experience in workload automation tools like Control-M, Autosys etc.
  •   Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins.
  •   Strong experience with Agile/SCRUM methodology.
  •   Experience with other ETL tools (DataStage, Informatica, Pentaho, etc.).

Job ID: JOB-241015
Publish Date: 09 Apr 2025

Tagged as: Data Engineer