Software Engineering & Development, Sr. Assc
Core
Design, build, and support trusted analytical data products and migrate data initiatives for Core Reference Data, Security Master, IBOR Holdings & Transactions, DataHub, and Stamford Data Warehouse.
Role type
Senior Data Engineer (Data Products & Pipelines)
Builds
End-to-end batch/stream pipelines, logical/physical data models, and production-grade curated reference and application data using open Lakehouse technologies.
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, Java, SQL, Spark, Snowflake, Databricks, Apache Iceberg, ETL, Data Modeling, CI/CD, Cloud Platforms (AWS/GCP/Azure)
Preferred skills
Financial services domain knowledge, Open table formats (Polaris, Horizon, Unity), Data product concepts
Technologies
Snowflake, Databricks, Spark, Informatica ETL, Apache Iceberg, AWS, GCP, Azure, RKS, PORTIA, Aladdin, CRD Cloud
Responsibilities
Build and operate scalable batch and streaming pipelines; Implement Iceberg-based tables and metadata structures; Integrate source feeds into curated analytical datasets; Implement automated data validation, quality rules, and lineage capture; Build and publish semantic layer data models and expose via BI endpoints/APIs; Develop data product interfaces with schemas, SLAs, and versioning; Collaborate on data strategies and data models; Participate in on-call and incident management.
Seniority
Senior, hands-on IC
