Data Engineer - Python

Responsibilities:

• 5+ years of hands-on experience in data engineering, particularly with Python, PySpark, and SQL.
• Proven experience building ETL pipelines using AWS services (Glue, Lambda, S3, Athena, Step Functions).
• Strong knowledge of Data Warehousing concepts, SCD Types (Type 1, Type 2), and Medallion Architecture.
• Solid understanding of data modeling, partitioning, and performance optimization in big data environments.
• Excellent communication skills with the ability to explain technical topics to non-technical stakeholders.

Nice-to-Have Skills:

• Experience with DBT for data transformation and testing.
• Hands-on exposure to Databricks and the Lakehouse architecture.
• Familiarity with CI/CD for data pipelines and infrastructure-as-code using tools like Terraform or Cloud Formation.

Interested candidate please drop your resume at riyanshi@etelligens.in