Description

You will build and maintain data pipelines and infrastructure on AWS.

This role is on-site.

Responsibilities

• Design and implement data ingestion and transformation processes.
• Manage and optimize data storage solutions using S3 and Redshift.
• Develop ETL jobs using AWS Glue and PySpark.
• Write and optimize complex queries using SQL.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in SQL.
• Hands-on experience with AWS S3, Redshift, and Glue.
• Strong programming skills in Python and PySpark.
• Experience with data warehousing concepts.

Preferred Skills

• Familiarity with GCP and BigQuery.

Key Skills

Education

Any Graduate