Job Description

What You’ll Bring

- 6-8 years’ experience in hands‑on data engineering roles

- Strong data engineering skills using Databricks
- Strong programming skills in Python, Java, Spark and advanced SQL
- Strong solution and data platform design capability
- Hands-on data engineering expertise with Databricks, Airflow and Kafka
- Experience operating at significant scale and complexity
- Proven track record making architectural and data modelling decisions in enterprise environments
- Proven experience building and running data pipelines in production
- Solid understanding of distributed systems and scalable data architectures
- Hands‑on experience with AWS data services and cloud‑native platforms
- Experience with Databricks or similar distributed data processing platforms




- Solid understanding of data modeling and data quality approaches
- Experience building and operating both batch and streaming data pipelines
- Familiarity with CI/CD, monitoring, and operational support of data platforms
- Contribute to technical design discussions and help improve system performance, scalability, and reliability
- Support production systems by troubleshooting issues and implementing improvement.

Nice to Have

- Experience enabling ML, AI, or GenAI workloads through strong data foundations
- Exposure to up-to-date BI and analytics tooling
- Experience working in regulated or security‑conscious environments
- Consulting or client‑facing delivery experienc

📌 Senior Data Engineer (Mumbai)
🏢 Version 1
📍 Mumbai