
Job description
Design, develop, and maintain scalable and high-performance applications, and lead projects with minimal guidance. Collaborate with cross-functional teams to define requirements and provide scalable engineering solutions.
Develop data pipelines using Python, PySpark, and SQL, build and optimize large-scale ETL/ELT processes on cloud platforms, and write shell scripts to automate operational tasks.
7+ years of experience in technology and/or data functions in financial services or consulting industry, hands-on experience with establishing data strategies and data transformation implementations, and strong written and verbal communication skills.
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Company

Finance
State Street is a global financial services firm with over 200 years of experience, delivering investment platforms, data, and expertise to institutional investors. The company offers integrated front‑to‑back solutions covering custody, accounting, and operations, as well as asset‑management services that include index and active strategies. Its markets division provides multi‑asset trading, FX solutions, and research to enhance portfolio value. Recognized as the world’s leading ETF servicer and operating in more than 100 markets, State Street combines deep industry knowledge with technology‑driven solutions to accelerate performance and improve decision making. The firm emphasizes a culture of collaboration, diversity, and thought leadership, positioning it as a trusted partner for complex investment needs.