Description

Key Skills: AWS, Python, PySpark, Databricks, SQL, AWS Glue, ETL, ELT, Data Engineering

Roles & Responsibilities:

• Develop and maintain ETL/ELT pipelines using PySpark and Databricks.
• Build data ingestion and transformation workflows using AWS Glue and AWS services.
• Write and optimize SQL queries for data modeling, validation, and performance tuning.
• Implement scalable data processing patterns in Spark for large datasets.
• Collaborate on data quality checks, monitoring, and troubleshooting of production data jobs.

Experience Required:

• 6-14 years of relevant experience in data engineering.
• Strong experience with AWS for building and managing data pipelines.
• Hands-on experience with Python, PySpark, and Databricks.
• Strong SQL skills for data transformation and performance optimization.
• Good to have experience with Hadoop and data modeling.

Education: Any Graduation

Key Skills

Education

Any Graduate