Senior Data Engineer
Core
Design, build, and scale data-driven solutions for Science Analysts, specifically within the Equity space.
Role type
Senior Data Engineer
Builds
Data pipelines and workflows for scientific research and equity analysis
Domain
Financial services / Investment management / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT pipeline design, Airflow, AWS (S3, Lambda, Batch), Snowflake, DataBricks, Fabric, data modeling, data warehousing, data governance, metadata management, CI/CD, Git, Docker, cloud deployment, pipeline optimization
Preferred skills
Financial-services data domain expertise
Technologies
Python, SQL, Airflow, AWS, Snowflake, DataBricks, Fabric, Docker, Git
Responsibilities
Design and build data-driven solutions for Science Analysts; maintain ETL/ELT pipelines; optimize high-volume data pipelines; deploy solutions in cloud environments; collaborate with data scientists and business partners
Seniority
Senior, hands-on IC
