Number of Applicants
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Design, develop, and optimize data pipelines using Databricks
Build and maintain scalable ETL/ELT workflows
Work closely with stakeholders to translate business requirements into technical solutions
Optimize SQL and Spark workloads for performance and scalability
Implement multi-hop (bronze/silver/gold) pipeline architectures
Collaborate with cross-functional teams in a consulting setup
Requirements
5+ years of Data Engineering experience
5+ years of consulting experience
Databricks Data Engineering Professional certification (completed required courses)
Very strong experience with SQL and Databricks
Hands-on delivery of 2–3 Databricks projects
5+ years of Data Engineering experience
5+ years of consulting experience
Databricks Data Engineering Professional certification (completed required courses)
Very strong experience with SQL and Databricks
Hands-on delivery of 2–3 Databricks projects
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