Highlight
Summary
About the Role
About You
- 3 to 5 years of experience in data engineering or a related field.
- Strong hands-on experience with DBT (modular SQL development, testing, documentation).
- Proficiency in Snowflake (data warehousing, performance tuning, security).
- Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages.
- Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
- Experience with version control systems (e.g., Git) and CI/CD practices.
- Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.
Benefits
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
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 Group reported 2024 global revenues of €22.1 billion. Get The Future You Want | www.capgemini.com