Description

You will build and maintain data pipelines using Python, PySpark, and AWS services.

This role is on-site.

Responsibilities

• Develop and manage ETL processes to move data across diverse environments.
• Build scalable data workflows using AWS Glue, EMR, and Kinesis.
• Implement data storage solutions across SQL and NoSQL architectures.
• Maintain data integrity and availability using S3, Lambda, and Athena.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with Python and PySpark.
• Strong experience with AWS frameworks including Glue, Kinesis, EMR, S3, Lambda, and Athena.
• Hands-on experience with ETL development.
• Experience with Java.
• Working knowledge of SQL Server.
• Degree in any field of study.

Preferred Skills

• Experience with Snowflake, DynamoDB, or Neo4j.

Key Skills

Education

Any Graduate