Data Engineer (Power BI/Snowflake)

Capgemini•New York, NY
•$85,000 - $95,000•Hybrid

About The Position

The Workplace Investing Analytics Insights Reporting team is seeking a highly motivated Data Engineer to help build and deliver scalable reporting and analytics solutions. In this role, you will work closely with business partners, data engineers, and platform teams to develop data pipelines, reporting solutions, and analytics capabilities. You will contribute to the engineering and support of the Reporting Analytics Insights solutions. This is a hands-on Agile engineering role focused on data engineering, reporting, and platform enablement with opportunities to contribute to automation, governance, and performance optimization initiatives.

Requirements

  • Bachelor's Degree or equivalent in a technology related field e.g. Computer Science Engineering etc required
  • 5 to 9 years of demonstrable experience in data engineering BI and analytics
  • Handson experience working with different BI and Data tools and technologies
  • Outstanding experience with Power BI Desktop Service DAX Power Query data modeling
  • Extensive hands-on experience with Snowflake Data Warehouse and Oracle database
  • Ability to write and optimize complex SQL queries for data analysis validation and reconciliation
  • Experience in administration and support for Power BI platform operations including capacity management licensing dataset refreshes gateway connectivity and performance tuning
  • Experience performing deep data analysis on multiple database platforms
  • Experience with cloud technologies AWS Azure to support data integration and analytics solutions
  • Strong analytical technical and problem-solving skills to understand complex customer needs and transactions
  • Ability to learn and experiment with new technologies and patterns.

Responsibilities

  • Contribute to the engineering and support of the Reporting Analytics Insights solutions.
  • Develop data pipelines, reporting solutions, and analytics capabilities.
  • Work closely with business partners, data engineers, and platform teams.
  • Contribute to automation, governance, and performance optimization initiatives.

Benefits

  • Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
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