Job Summary

We are seeking for Data Engineer who has expertise Databricks to design, implement, and optimize scalable data solutions. The ideal candidate will have hands-on experience delivering Databricks projects, strong consulting skills, and deep knowledge of Spark-based big data technologies.

Key Responsibilities

- Design and deliver end-to-end data engineering solutions using Databricks.
- Build and optimize data pipelines leveraging Apache Spark and Databricks best practices.
- Collaborate with clients to understand business requirements and translate them into technical solutions.
- Implement and maintain Databricks multi-hop architecture (Bronze, Silver, Gold layers).
- Optimize data processing performance and ensure scalable, reliable data platforms.




- Provide technical guidance and support throughout project delivery.

Key Skills & Qualifications

- 4+ years of Data Engineering experience and 5+ years of consulting experience.
- Databricks Data Engineer Professional certification preferred.
- Hands-on experience delivering at least 2-3 Databricks implementation projects.
- Strong expertise in Apache Spark and Databricks.
- Experience with Hadoop, Flink, Presto, or other big data technologies.
- Knowledge of Databricks multi-hop pipeline architecture.
- Robust problem-solving, stakeholder management, and communication skills.

📌 Data Engineering (Databricks) (Mumbai)
🏢 Capgemini
📍 Mumbai