Description

You will build and maintain data pipelines on AWS, owning the full lifecycle from ingestion to warehousing.

This role is on-site.

Responsibilities

• Develop and manage data ETL processes using AWS Glue.
• Design and implement data warehousing solutions in Redshift.
• Orchestrate data workflows using Apache Airflow.
• Manage infrastructure provisioning using Terraform.
• Query and analyze data stored in S3 and Athena.

Required Skills

• 12+ years of experience in data engineering.
• Expertise in SQL and Python.
• Proficiency with PySpark for large-scale data processing.
• Hands-on experience with AWS S3 and AWS Glue.
• Strong knowledge of Terraform for IaC.
• Experience with Apache Airflow for workflow management.
• Familiarity with AWS Redshift and Amazon Athena.

Preferred Skills

• Experience with large-scale distributed systems.

Key Skills

Education

Any Gradute