Data Engineer (AWS & Snowflake)

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, 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.

1 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 2 DBT Experience with DBT Data Build Tool for modeling data and creating data transformation pipelines is a plus 3 AWS services Airflow The candidate should have handson experience with AWS services particularly Apache Airflow for orchestrating complex data workflows and pipelines 4 AWS services Lambda Proficiency in AWS Lambda for serverless computing and eventdriven architecture is essential for this role 5 AWS services Glue The candidate should be wellversed in AWS Glue for ETL Extract Transform Load processes and data integration 6 Fivetran HVR Working knowledge and handson experience on Fivetran HVR 7 Python Strong programming skills in Python are required for developing data pipelines data transformations and automation tasks, 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 problem-solving 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 nd 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 Disaster Relief

The base compensation range for this role in the posted location is: 103330 to 128656

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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.