Description
Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
Analyze existing ETL / ELT workloads and define migration approaches
Develop and optimize data pipelines processing large volumes of retail and analytical data
Implement incremental processing strategies and scalable transformation frameworks
Build and maintain Spark-based data processing solutions using PySpark
Design and maintain medallion architecture layers including Bronze, Silver, and Gold
Implement data governance and security best practices using Unity Catalog
Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
Participate in architecture discussions and technical solution design
Develop reusable data platform components and engineering standards
Conduct code reviews and contribute to platform reliability and maintainability
Troubleshoot and optimize complex SQL and Spark workloads
Support production deployments and platform modernization activities
5+ years of professional experience as a Data Engineer
Strong programming skills in Python and advanced SQL
Hands-on commercial experience with Databricks
Strong knowledge of Apache Spark, primarily PySpark
Experience designing and building modern cloud-based data platforms
Experience developing ETL / ELT pipelines and large-scale data processing solutions
Hands-on experience with Delta Lake
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