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Data Engineer, Associate

BlackRock is the world's largest asset manager with over $9.5 trillion in assets under management, providing financial technology and investment solutions globally.
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
6+ years of experience
Finance

Description For Data Engineer, Associate

BlackRock, the world's largest asset manager with over $9.5 trillion in assets under management, is seeking a Data Engineer to join their Global Investment Operations Data Engineering team. This role sits within Technology & Operations (T&O), specifically in the Global Investment Operations (GIO) Engineering division. The position involves building robust data pipelines, working with Azure/Snowflake integration, and creating data products and dashboards for both internal use and BlackRock's 150+ Aladdin clients.

The role requires expertise in ETL processes, cloud databases, and modern data engineering tools. You'll be working on designing and maintaining data analytics infrastructure, automating reporting processes, and collaborating with various stakeholders. The position offers a hybrid work environment requiring 4 days in office per week, comprehensive benefits, and the opportunity to impact millions of investors' financial well-being.

As a Data Engineer at BlackRock, you'll be at the intersection of finance and technology, working with cutting-edge tools and technologies while contributing to solutions that help people achieve financial well-being. The role offers exposure to various aspects of data engineering, from pipeline development to visualization, making it an excellent opportunity for someone looking to grow their career in financial technology.

Last updated 19 hours ago

Responsibilities For Data Engineer, Associate

  • Design, develop and maintain Data Analytics Infrastructure
  • Work with project managers to drive team deliverables
  • Collaborate with SMEs to understand business requirements
  • Develop and maintain data pipelines and lakes
  • Automate periodic reporting processes
  • Work on Azure/Snowflake integration
  • Create visualizations and dashboards

Requirements For Data Engineer, Associate

Python
  • 6+ years of professional experience
  • 3+ years experience in ETL using Hadoop technologies (Spark/PySpark, Hive)
  • 3+ years experience with cloud databases like Snowflake on Azure or AWS
  • Experience with Data Science/Machine Learning/Gen AI frameworks
  • Experience with BI Tools: Tableau, MS PowerBI
  • Experience with GitHub and version control
  • Experience with Agile workflows
  • Strong analytical skills
  • Experience working with stakeholders and SMEs

Benefits For Data Engineer, Associate

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
Education Budget
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

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