Description:

Design and build scalable cloud-based data pipelines for data ingestion and transformation.
Own data-pipeline architecture, ensuring reliability, performance, and data quality.
Develop workflows and data models to convert raw data into actionable insights.
Improve data quality through validation and monitoring.
Manage and enhance existing data stack including PostgreSQL, Redshift, Airflow, and Terraform.
Strengthen data literacy across teams through effective communication.

Requirements:

5+ years of experience in data engineering, software engineering, or related roles.
Strong experience with production data pipelines and advanced SQL.
Proficiency in Python, Docker, and Apache Airflow.
Hands-on experience with AWS or similar cloud platforms.
Strong software engineering practices including version control and documentation.
Excellent English communication skills for collaboration with global teams.
Must reside in Bengaluru, India.

Skills