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)

About The Role

• •Responsible for designing developing and maintaining scalable data pipelines and ETL processes using AWS Glue.
• •This role involves working closely with data engineers analysts and other IT professionals to ensure data is efficiently integrated transformed and made available for business use
• •Snowflake Snowpark - The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics
• DBT - Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus
• AWS services Airflow - The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines
• AWS services Lambda - Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role
• AWS services Glue - The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration
• Fivetran - HVR Working knowledge and handson experience on Fivetran HVR
• Python - Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks

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

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 programs
• •Employee Resource Groups
• •Disaster Relief

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

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.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this ro