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Senior Data Engineer - PySpark

D-Techworks

Pune

Not Disclosed

5 - 10 Years

Full Time - Permanent

Views:146

Applicants:0

Posted on 8 Jul, 2025

Hybrid

Job Description | Responsibilities

  • Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF).
  • Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling.
  • Implement event-based orchestration using AWS Step Functions and Apache Airflow
  • Document architectures, pipelines, and workflows for internal stakeholder

Overview

  • Industry - IT - Software / Product Development
  • Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
  • Job Role - Data Quality Engineer
  • Employment type - Full Time - Permanent
  • Work Mode - Hybrid

Qualifications

  • Any Graduate - Any Specialization
  • Any Post Graduate - Any Specialization
  • Any Doctorate - Any Specialization

Job Related Keywords

Senior Data Engineer Data Engineer MS SQL SQL MySQL Data management PySpark