Description

You will build and maintain scalable data pipelines within an AWS environment, owning the full lifecycle from ingestion to warehousing.

Responsibilities

• Build and scale data pipelines using Python and AWS services.
• Design and implement data warehousing solutions and dimensional models.
• Manage data workflows and messaging technologies to ensure reliable data flow.
• Apply conceptual, logical, and physical data modeling to architectural designs.
• Communicate technical status, challenges, and project alignment to the team.

Required Skills

• 5+ years of experience building data pipelines with Python.
• 3+ years of experience with AWS services including S3, EMR, Lambda, Glue, Athena, Event Bridge, and Step Functions.
• 3+ years of experience with Spark.
• Experience with Snowflake and Redshift.
• Proficiency with Airflow for workflow management.
• Experience with Kafka for messaging.
• Strong knowledge of database design and dimensional modeling.
• Any Graduate degree.

Key Skills

Education

Any Graduate