Data Engineering (Databricks)

Capgemini; Mumbai; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Capgemini seeks a Data Engineer with Databricks expertise to design, implement, and optimize scalable data solutions in Mumbai. You will deliver Databricks projects, collaborate with clients, and apply Spark-based big data know-how to build robust data platforms.

The role requires strong problem-solving, stakeholder management, and communication skills, with experience in multi-hop data architectures and related technologies.

Qualifications

• 4+ years of Data Engineering experience and 5+ years of consulting experience.
• Databricks Data Engineer Professional certification preferred.
• Hands-on experience delivering 2-3 Databricks 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.
• Strong problem-solving, stakeholder management, and communication skills.

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.

Skills

Databricks

Spark

Consulting

Data engineering

Big data

Multi-hop pipelines

Stakeholder mgmt

Communication

Job description

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.
• Strong problem-solving, stakeholder management, and communication skills.