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Build and operate scalable batch and streaming pipelines using the Snowflake and/or Databricks tech stack, Spark, or Informatica ETL (where reused) to deliver analytics-ready datasets Design, implement, and optimize Iceberg-based tables, partitions, and metadata structures for consistent and performant analytical access Implement processing, storage, and delivery for reference and application data domains including secur...
About the Role
Role Summary
Design, build, and support trusted analytical data products for Core Reference Data, Security Master, IBOR Holdings & Transactions, DataHub, Stamford Data Warehouse and may other data initiatives. Own end-to-end batch/stream pipelines, logical and physical data models, and production-grade curation of reference and application data using open Lakehouse technologies, in partnership with domain SMEs, architects, and platform teams.
Key Responsibilities
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