- 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.
- Strong proficiency in BigQuery.
- Strong 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)
🏢 Ascendion
📍 Bengaluru