Senior Data Engineer - GCP

Capgemini • Atlanta, GA

23h

About The Position

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. We are seeking a seasoned Lead Data Engineer with over 10 years of experience in data engineering, including deep expertise in Google Cloud Platform (GCP) and BigQuery, and strong proficiency in DBT for data transformation and modeling. This role is ideal for a strategic thinker and hands-on technologist who can lead complex data initiatives, mentor junior engineers, and collaborate cross-functionally to drive data excellence across the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data engineering or related roles.
• Expert-level SQL skills with a track record of writing efficient, scalable queries.
• Advanced proficiency in DBT for data modeling and transformation.
• Extensive hands-on experience with BigQuery and other GCP data services.
• Deep understanding of data warehousing principles, architecture, and performance optimization.
• Proficiency in Python for scripting, automation, and data manipulation.
• Experience with version control systems like Git and CI/CD pipelines.
• Strong leadership, communication, and stakeholder management skills.

Nice To Haves

• Experience with orchestration tools like Airflow or Cloud Composer.
• Familiarity with Terraform or Infrastructure as Code (IaC) practices.
• GCP Professional Data Engineer certification.
• Experience in leading data modernization or cloud migration initiatives.
• Knowledge of data governance frameworks and tools (e.g., Data Catalog, DLP).

Responsibilities

• Architect, design, and lead the development of scalable data pipelines and solutions on GCP, with a focus on BigQuery.
• Own and evolve DBT models to ensure robust, tested, and well-documented data transformations.
• Write and optimize advanced SQL queries for large-scale data processing and analytics.
• Lead the implementation of data warehousing solutions, ensuring performance, scalability, and reliability.
• Partner with data analysts, scientists, and business stakeholders to translate business needs into technical solutions.
• Monitor, troubleshoot, and continuously improve data pipeline performance and data quality.
• Automate workflows and data tasks using Python and other scripting tools.
• Champion data governance, security, and compliance best practices.
• Mentor junior engineers and contribute to the development of engineering standards and best practices.

Benefits

• 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
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior