Snowflake Data Engineer - DBT

Capgemini; Fort Mill, Northern (SC, KY); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Healthcare including dental, vision, &

Mental health & well-being programs

401(k) and Employee Share Ownership

Paid time off & holidays

Parental leave

Job summary

Capgemini, Fort Mill, SC, is seeking a data engineer to design, develop, and maintain scalable data pipelines and ETL processes using AWS Glue. You will collaborate with data scientists and analysts to meet data requirements, optimize workflows, and ensure data quality.

Responsibilities include implementing ETL solutions, staying current with AWS services, and maintaining clear documentation. A Bachelor's degree in CS/Engineering or related field and 3 years of AWS data services experience are

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• 3 years of experience with AWS Glue and other AWS data services.
• Proven experience designing and maintaining ETL processes.
• Strong SQL and data warehousing knowledge.
• Proven experience with Snowflake, Python and DBT.

Responsibilities

• Design, develop and maintain data pipelines and ETL processes.
• Collaborate with data scientists and analysts to understand data requirements.
• Optimize data workflows for performance, scalability and reliability.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows and stay updated with AWS services and tools.

Skills

Snowflake

AWS

Python

DBT

SQL

ETL

Data pipelines

Data warehousing

Analytics

Communication

Teamwork

Education

Bachelor's degree in CS/Engineering

Bachelor's degree in CS/IT or related field

Tools

AWS Glue

Job description

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)

About The Role

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

Key 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 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

Required Skills

• 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 problemsolving 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 problemsolving and analytical skills
• Strong communication and teamwork abilities

Life At Capgemini

• 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

Salary Transparency

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 time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

The base compensation range for this role in the posted location is: $80420 to $106050.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees.

Equal Opportunity Statement

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.

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.