Description

Build and manage data pipelines to assemble large, complex datasets that meet functional and non-functional business requirements.

This role is on-site.

Responsibilities

• Design and implement data models and structures.
• Build and maintain ETL/ELT orchestration workflows.
• Create and manage datasets for data mining and business use.
• Assemble large, complex sets of data to meet business requirements.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and PySpark.
• Experience with AWS services including S3, Redshift, Athena, Lambda, and SQS.
• Strong SQL and RDBMS skills.
• Experience with ETL/ELT orchestration and Airflow.
• Hands-on experience with distributed workloads.
• Knowledge of Snowflake and data modeling techniques.
• Experience with TypeScript and CI/CD pipelines.
• Background in Ecommerce environments.

Key Skills

Education

Any Graduate