Senior Data Engineer

6 - 9 years

13 - 17 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Senior Data Engineer is responsible for design, develop and support ETL data pipelines solutions primary in AWS environment
  • Design, develop, and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets.
  • Work as part of a team to build out and support data warehouse, implement solutions using PySpark to process structured and unstructured data.
  • Play key role in building out a semantic layer through development of ETLs and virtualized views.
  • Collaborate with Engineering teams to discovery and leverage new data being introduced into the environment
  • Support existing ETL processes written in SQL, or leveraging third party APIs with Python, troubleshoot and resolve production issues.
  • Strong SQL and data to understand and troubleshoot existing complex SQL.
  • Hands-on experience with Apache Airflow or equivalent tools (AWS MWAA) for orchestration of data pipelines
  • Create and maintain report specifications and process documentations as part of the required data deliverables.
  • Serve as liaison with business and technical teams to achieve project objectives, delivering cross functional reporting solutions.
  • Troubleshoot and resolve data, system, and performance issues
  • Communicating with business partners, other technical teams and management to collect requirements, articulate data deliverables, and provide technical designs.

Experience and Skills


  • you have completed graduation from BE/Btech
  • 6 to 9 years of experience in Data Engineering development
  • 5 years of experience in Python scripting
  • You should have 8 years experience in SQL, 5+years in Datawarehouse, 5yrs in Agile and 3yrs with Cloud
  • 3 years of experience with AWS ecosystem (Redshift, EMR, S3, MWAA)
  • 5 years of experience in Agile development methodology
  • You will work with the team to create solutions
  • Proficiency in CI/CD tools (Jenkins, GitLab, etc.)

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