Description

You will design, build, and maintain scalable data pipeline architectures to support analytics needs across cross-functional teams.

This role is on-site.

Responsibilities

• Design, build, and maintain ETL/ELT data pipelines using BigQuery, Python, and SQL.
• Develop and manage workflows in Airflow/Cloud Composer and Ascend or similar ETL tools.
• Optimize data flow, automate processes, and scale infrastructure for serverless data warehouse environments.
• Implement data quality checks, testing strategies, and incremental load strategies.
• Support CI/CD (DevSecOps) processes, conduct code reviews, and mentor junior engineers.

Required Skills

• 5+ years of experience in data engineering.
• Strong expertise in Python, SQL, and BigQuery.
• Experience with GCP or AWS serverless data warehouse environments.
• Proficiency in Airflow/Cloud Composer for pipeline orchestration.
• Knowledge of data integration, warehousing, and data quality frameworks.
• Experience with CI/CD and DevSecOps processes.
• Graduate degree in CS, Statistics, or a related field.

Key Skills

Education

Any Gradute