Snowflake Data Engineer - DBT

• 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, * 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 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

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, 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 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. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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., 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.