Data Engineering (Databricks)

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.