Below is the JD:

10+ years’ experience in data engineering, data platforms & analytics

Completed Data Engineering Professional certification

Minimum 6-8+ projects delivered with hands-on experience in development on databricks

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one

Deep experience with distributed computing with Spark with knowledge of Spark runtime internals

Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks

Experience in Spark and/or Hadoop, Flink, Presto, other popular big data engines

Familiarity with Databricks multi-hop pipeline architecture

Familiarity with CI/CD for production deployments

Working knowledge of MLOps

Current knowledge across the breadth of Databricks product and platform features

Familiarity with optimizations for performance and scalability

IMP- Databricks certified(must)