Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 27th Nov 2025

JOB DETAIL

  • Extensive experience as Data Engineer with Python Language and Cloud Technologies (AWS preferably).
  • Experience in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python.
  • Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and SageMaker.
  • Extensive Experience with SQL/Unix/Linux scripting.
  • Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx).
  • Experience in Data migration from Onprem to Cloud is Plus.
  • Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science.
  • Extensive experience in DevOps/Data Ops space.
  • Having experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O is plus.

 

Work Description SDET – Python, AWS, Unix and ETL.

  • Work with business stakeholders, Business Systems Analysts and Developers to ensure delivery of Data Applications.
  • Building Automation Frameworks using Python.
  • Designing and managing the data workflows using Python during development and deployment of data products
  • Design, development of Reports and dashboards.
  • Analyzing and evaluating data sources, data volume, and business rules.
  • Should be well versed with the Data flow and Test Strategy for Cloud/ On Prem ETL Testing.
  • Interpret and analyses data from various source systems to support data integration and data reporting needs.
  • Experience in testing Database Application to validate source to destination data movement and transformation.
  • Work with team leads to prioritize business and information needs.
  • Develop and summarize Data Quality analysis and dashboards.
  • Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud/ On Prem ETL.
  • Execute testing of data analytic and data integration on time and within budget.
  • Troubleshoot & determine best resolution for data issues and anomalies
  • Has deep understanding of data architecture & data modeling best practices and guidelines for different data and analytic platforms

Company Information