Data Engineer (Power BI/Snowflake)
Capgemini America, Inc.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location: Dallas, TX (3 days/week onsite). Job Description
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
- 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
- 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.
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Vacancy posted more than 2 months ago
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