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Databricks Lead – Delivery & Engineering

Jade Global · Pune

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Employer requisition: R-104648

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Collected role description

Databricks Lead – Delivery & Engineering1 Lead hands-on Databricks delivery, ensuring adherence to CoE standards and best practices. Key Responsibilities Lead Databricks engineering teams Build and optimize Spark & Delta Lake pipelines Implement Databricks Jobs, Workflows, CI/CD Optimize performance and DBU usage Contribute to Databricks accelerators and standards Design and implement end-to-end data platforms using Databricks Lakehouse Lead development of: Data ingestion (batch & streaming) Delta Lake data modeling (Bronze/Silver/Gold) Scalable ETL/ELT pipelines Optimize Spark workloads for performance and cost Ensure reliability, scalability, and observability of data pipelines Experience 10–12 years in data engineering 3–5 years hands-on Databricks experience Skills Deep expertise in Databricks, Apache Spark, Delta Lake Strong hands-on experience with PySpark / Spark SQL (core, SQL, streaming) Experience designing Lakehouse architectures Strong understanding of data modeling, data quality, and lineage Databricks platform features Cloud-native data engineering Performance tuning & troubleshooting Certifications (Preferred) Databricks Data Engineer Associate and Professional Working at Jade Global Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees. We seek to provide the benefits you need while standing behind you every step of the way. Our programs include health-related policies and leave donation policy.

Collected experience requirement

10-12 years