About the company
BlackRock's purpose is to help more and more people experience financial well-being. As a global investment manager and a leading provider of financial technology, our clients—from grandparents, doctors, and teachers to large institutions—turn to us for the solutions they need when planning for their most important goals. People join our firm from around the world to gain real-world experience while making an impact. Discover how you can have a career at BlackRock that's exciting, rewarding and full of possibilities.
Job Summary
Your responsibilities will include:
đź“ŤDesign and implement robust data models (dimensional, Data Vault, etc.) that support business intelligence and analytics requirements đź“ŤBuild scalable, reliable ETL/ELT pipelines using Python that process data from multiple sources đź“ŤCreate and maintain analytics-ready datasets with efficient query performance for reporting and business insights đź“ŤDevelop database schemas and optimize database performance for both transactional an analytical workload đź“ŤEstablish and enforce data governance practices, including data quality standards and metadata management
What we are looking for
đź“ŤAt least 8 years of experience in data engineering with strong database expertise đź“ŤExperience building ETL/ELT pipelines using Python and implementing efficient data processing workflows đź“ŤStrong SQL skills with ability to write complex queries for reporting and analytics needs đź“ŤExperience with data modelling methodologies (dimensional/Kimball, Data Vault) and database schema design đź“ŤProficiency working with both transactional and analytical database systems (Postgres, Snowflake, etc.)
If this role isn’t the perfect fit, there are plenty of exciting opportunities in blockchain technology, cryptocurrency startups, and remote crypto jobs to explore. Check them on our Jobs Board.
