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Senior Data Engineer / AWS Glue Specialist

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 Mills SC (Day One Onsite - Hybrid Model)

Job Description

+ 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 hands-on 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 event-driven architecture is essential for this role.

+ **AWS services (Glue)** : The candidate should be well-versed 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 data-related 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

+ 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

+ Excellent communication and teamwork abilities.

+ Technical certifications are a plus.

+ Bachelor's degree in Computer Science, Information Technology, or a related field

+ 10+ 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

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

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.

Ref. code: 253986

Posted on: Jun 2, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

Columbia, US

Brand: Capgemini

Professional Community: Data & AI

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.