Skills: Databricks, Apache Spark, Delta Lake, PySpark, Spark SQL, data modeling, data quality, data lineage, cloud-native data engineering, performance tuning, Databricks Data Engineer Associate, Databricks Data Engineer Professional
Job 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 Qualified
📌 Databricks Lead – Delivery & Engineering (Pune)
🏢 Jade Global Software
📍 Pune
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