Opportunity Description
Job Description
Key Responsibilities
Data Engineering
- Develop and optimize high-performance, end-to-end data transformation and reporting solutions using PySpark, Spark SQL, and T-SQL within cloud-native environments like Databricks
- Architect and implement complex logical and physical data models that support modern patterns such as Data Lakehouse, Data Mesh, and Data Fabric
- Construct robust ETL/ELT pipelines that facilitate seamless data ingestion and transformation from diverse sources into production-ready data assets
- Build and maintain specialized data structures, including feature stores and automated retraining pipelines, to support the operationalization of machine learning models
- Design test strategy, test plan, and test cases
- Own and maintain complete and current assigned technical documentation
- Collaborate with PMO on project estimation and resourcing
- Particip...
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