Description

You will design and build data pipelines and warehousing solutions using AWS native services.

Responsibilities

• Build and maintain data pipelines using PySpark and AWS Glue.
• Design and implement data warehouses using Redshift and EMR.
• Develop serverless workflows using AWS Lambda and Step Functions.
• Architect data models using Star and Snowflake schemas.
• Manage and optimize relational databases including PostgreSQL and Aurora.

Required Skills

• 10+ years of experience in data engineering.
• Expertise in Python and PySpark.
• Hands-on experience with AWS native services including EMR, Redshift, and Glue.
• Strong SQL and PL/SQL skills.
• Experience with PostgreSQL and Aurora databases.
• Proficiency in serverless architectures using Lambda and Step Functions.
• Deep understanding of Data Mart, Data Warehousing, and Multi-Dimensional OLAP.
• Proven ability in Star and Snowflake Schema design.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate