HARD PREREQUISITE: investment management domain knowledge is mandatory. The client does not meet candidates who have not worked in a financial services environment.
5+ years in data engineering; production Databricks experience mandatory
PySpark (must), strong SQL, Declarative Pipelines / Lakeflow / DLT (prerequisite)
Lakehouse: Delta tables, optimization, partitioning, incremental processing
Data quality: monitoring, reconciliation, lineage, governance, cataloguing
Market data feeds (Bloomberg, Refinitiv, MSCI, FactSet); CI/CD, structured enterprise environment
Detailed Job Desc. pending; baseline above from the client's Databricks/Lakehouse data JD

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