Description

You will lead the design and implementation of cloud-native data platforms on AWS.

Responsibilities

• Architect and optimize data pipelines for batch and real-time processing.
• Own data ingestion, transformation, storage, and consumption layers.
• Guide and mentor data engineers; provide technical direction and conduct code reviews.
• Collaborate with analytics, data science, product, and business teams to establish data standards.
• Design and maintain CI/CD pipelines for data workloads.

Required Skills

• 6+ years of experience in data engineering or analytics platforms.
• 3+ years of hands-on experience designing solutions on AWS.
• Strong expertise in Python and SQL.
• Proven experience building data lakes and data warehouses.
• Deep understanding of distributed systems and ETL/ELT patterns.
• Experience leading technical teams or projects.
• Strong stakeholder communication and leadership skills.
• Familiarity with AWS services including Glue, Lambda, S3, Redshift, Athena.
• Experience with Airflow (MWAA) and Terraform/CloudFormation.

Key Skills

Education

Any Graduate