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Remote, mid-level, metro location, and popular Databricks data engineering role increase candidate competition.
Databricks and Delta Lake specialization moderately reduces cross-industry portability.
Mandatory 5+ years Databricks experience and specific Spark/Delta skills create strict technical filters.
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Lead migration and consolidation of data warehouse implementations into a unified platform.
Design and develop scalable data lake solutions on AWS using S3, Delta Lake, and Databricks for processing and transformation.
Build and maintain data pipelines with ETL tools, perform data modeling optimization, and handle data administration tasks including job scheduling, debugging, and performance tuning.
5+ years of experience with Databricks including Spark SQL and Delta Lake implementations.
3+ years of experience designing and implementing data lake architectures on Databricks.
Strong SQL and PL/SQL skills with ability to refactor legacy stored procedures.
Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field.
Experienced in complex data migration projects and legacy code translation into modern cloud platforms.
Skilled in AWS data lake solutions with expertise in Databricks environment and Delta Lake architecture.
Comfortable working in Agile environments and collaborating with cross-functional teams for iterative development.