Description

You will build and manage scalable data pipelines and integration layers within an AWS environment.

Responsibilities

• Design and develop data pipelines using AWS Glue, Spark, and Python with Airflow.
• Implement data modeling strategies across Master, Reference, ODS, DW, and DM layers for platform analytics.
• Develop Data APIs using Python, Flask, or FastAPI to expose platform data.
• Build event and message-based inbound and outbound integrations.
• Execute data governance, lifecycle management, and data quality processes using industry-standard catalog tools.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in Python, Spark, and AWS Glue.
• Deep understanding of AWS services from a data engineering perspective.
• Experience with advanced data modeling for analytics platforms.
• Ability to design APIs supporting polyglot persistence, including Document and Graph stores.
• Experience with event-driven integrations and messaging.
• Knowledge of data quality and data cataloging tools and processes.

Preferred Skills

• Experience with Informatica Cloud.
• Deep experience with cloud platforms other than AWS.

Key Skills

Education

Any Graduate