State Street Investment Management is seeking a Data Engineer with strong expertise in Python, Apache Spark, Databricks, and AWS to support cloud‑based data engineering initiatives. The role focuses on building and maintaining scalable batch ETL pipelines and well‑structured data models to support analytics and reporting platforms.
Key Responsibilities
Design and develop batch ETL pipelines using Python and Apache Spark
Build and optimize data solutions on Databricks (AWS)
Develop and maintain SQL‑based transformations and data validation logic
Implement efficient data models to support downstream analytics
Ensure data quality, performance, and reliability in cloud data platforms
Collaborate with analysts and technology teams to deliver data solutions
Required Experience
7-9 years of experience in data engineering
Strong experience with cloud data engineering and big data technologies
Solid understanding of data warehousing and data modeling concepts
Experience working in large enterprise environments (financial services preferred)
Must‑Have Skills
Python
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