Data Engineer

3 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Skills Required-

  • Minimum experience required 3 years in Data Engineer (Python,Pyspark, AWS, SQL)
  • Programming & Frameworks: Python, PySpark
  • Databases & Querying: Strong SQL (query optimization, joins, window functions)
  • Big Data & Processing: PySpark for distributed data processing, ETL pipelines
  • Cloud Platform: AWS (S3, Glue, Lambda, EMR, Redshift, Athena)
  • Data Engineering: Data pipeline design, data ingestion, transformation, and integration
  • Other Nice-to-Have: Airflow (or other orchestration tools), CI/CD, Docker
🔹

Responsibilities

  • Design and develop scalable ETL pipelines using PySpark and SQL
  • Manage data ingestion & transformation on AWS cloud (S3, Glue, EMR, Redshift)
  • Optimize SQL queries for performance in large-scale datasets
  • Collaborate with data scientists and analysts for data availability & quality
  • Implement best practices in data engineering (partitioning, schema design, data governance)
  • Monitor, debug, and optimize pipeline performance
Skills: pandas,aws,python,"data engineer",pyspark,sql

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