Description

You will build and maintain data pipelines using AWS native services and serverless architectures.

Responsibilities

• Develop data processing workflows using Python, PySpark, and AWS Glue.
• Design and implement data warehouse structures using Redshift and Star/Snowflake schemas.
• Manage data workloads across EMR and serverless environments like Lambda and Step Functions.
• Optimize complex SQL and PL/SQL queries for PostgreSQL and Aurora databases.
• Build and maintain datamarts and multi-dimensional OLAP structures.

Required Skills

• 5+ years of experience in data engineering.
• Strong hands-on experience with Python and PySpark.
• Expertise in AWS native services including EMR, Redshift, and Glue.
• Proficiency in serverless technologies such as Lambda and Step Functions.
• Advanced SQL and PL/SQL skills.
• Experience with PostgreSQL and Aurora databases.
• Deep understanding of Star/Snowflake schema design and Data Warehousing.
• Knowledge of multi-dimensional OLAP.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate