Lead hands-on Databricks delivery ensuring adherence to CoE standards and best practices at Jade Global. Drive engineering teams for data platform implementation and optimization.
Responsibilities
Lead hands-on Databricks delivery
Ensure adherence to CoE standards and best practices
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
Requirements
10–12 years in data engineering
3–5 years hands-on Databricks experience
Deep expertise in Databricks, Apache Spark, Delta Lake
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