Description

You will design and build data pipelines and infrastructure for large-scale data processing.

This role is on-site.

Responsibilities

• Develop and optimize data ingestion and transformation workflows.
• Manage and maintain ETL/ELT processes within the AWS ecosystem.
• Ensure data quality and integrity across data platforms.
• Build scalable data infrastructure to support large-scale processing.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in PySpark for large-scale data manipulation.
• Hands-on experience with AWS Glue for ETL jobs.
• Strong understanding of cloud data warehousing concepts.
• Ability to design robust data pipelines.
• Experience with large-scale data processing.

Preferred Skills

• Experience with additional AWS data services beyond Glue.

Key Skills

Education

Any Graduate