Snowflake Data Engineer - DBT

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.

Job Location
- Fort Mill SC (Day One Onsite
- Hybrid)

Responsible for designing developing and maintaining scalable data pipelines and ETL processes using AWS Glue.

• Design develop and maintain data pipelines and ETL processes using Snowflake AWS services Python and DBT
• Collaborate with data scientists and analysts to understand data requirements and implement solutions
• Optimize data workflows for performance scalability and reliability
• Troubleshoot and resolve datarelated issues in a timely manner
• Stay updated on the latest technologies and best practices in data engineering
• Design and implement scalable ETL solutions using AWS Glue
• Collaborate with data engineers and analysts to understand data requirements
• Develop and manage data extraction transformation and loading processes
• Optimize and improve existing data pipelines and ETL workflows
• Ensure data quality and integrity during the transformation process
• Monitor and troubleshoot issues with ETL jobs
• Maintain detailed documentation of data workflows and processes
• Stay updated with the latest AWS services and tools

• Bachelors degree in Computer Science Engineering or related field
• Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT
• Strong analytical and problem solving skills
• Excellent communication and teamwork abilities
• Technical certifications are a plus
• Bachelors degree in Computer Science Information Technology or a related field
• 3 years of experience working with AWS Glue and other AWS data services
• Proven experience in designing and maintaining ETL processes
• Strong knowledge of SQL and database management
• Familiarity with data warehousing concepts and tools
• Experience with Python or other scripting languages
• Excellent problem solving and analytical skills
• Strong communication and teamwork abilities

• 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 discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role.

The base salary range for the tagged location is $80420 to $106050 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission.

Full…