Snowflake Data Engineer
North Carolina, US
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.Title : Snowflake Data Engineer
Location : Charlotte |NC | Hybrid
JOB DESCRIPTION:
Capgemini is looking for a candidate who is proficient and has hands on experience in Snowflake, Aws, Python, DBT
RESPONSIBILITIES:
- 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 data-related issues in a timely manner.
- Stay updated on the latest technologies and best practices in data engineering.
REQUIRED SKILLS:
Bachelor's 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.
- Superb communication and collaboration abilities.
- AWS certifications (e.g., AWS Certified Data Analytics - Specialty) are a plus.
LIFE AT CAPGEMINI:
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- 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 program
- Employee Resource Groups
- Disaster Relief
About Capgemini:
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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get the future you want | www.capgemini.com (http://www.capgemini.com/#_blank)
Disclaimer:
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law (http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data Analytics Data pipelines dbt Engineering ETL Pipelines Python Snowflake
Perks/benefits: Career development Flex vacation Health care Parental leave
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