Design, develop, and support data pipelines using Python, SQL, and BigQuery.
Execute testing, deployment, validation, and migration cutover activities.
Coordinate with offshore team members as needed.
Provide production support and participate in incident resolution as needed.
Be available, when required, to support critical deployments, production issues, and business-critical activities.
Provide timely, accurate, and proactive status reporting on assignments, milestones, and deliverables.
Escalate issues and blockers early to support timely resolution.
Demonstrate ownership, accountability, and follow-through for assigned work.
Solid proficiency in BigQuery.
Robust proficiency in Python.
Strong proficiency in SQL.
Solid analytical,



problem-solving, communication, and collaboration skills.
Ability to work effectively with cross-functional and offshore teams.
Experience with production support and incident management.
Familiarity with deployment, validation, and cutover processes.
Exposure to data engineering best practices and workflow orchestration.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
3 or more years of data engineering experience.

📌 Data/etl Engineer Bengaluru (India)
🏢 Ascendion
📍 India