Optimum - Data Engineer GCP

Capgemini • New York, NY

23h • $76,730 - $150,800 • Hybrid

About The Position

Capgemini is seeking a GCP Data Engineer for a hybrid role in Atlanta, Georgia. The position focuses on designing, building, and maintaining scalable data pipelines on Google Cloud Platform, primarily using BigQuery. The engineer will use strong SQL skills and data warehousing knowledge to transform and analyze data, with Python for scripting and automation. The role also involves collaboration with analysts, data scientists, and business stakeholders, and supporting governance, security, compliance, pipeline performance, and data quality. Familiarity with telecommunications CES and network data, including calls, chats, and network data, is emphasized.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Five years of experience in data engineering or a similar role.
• Strong SQL expertise, including the ability to write efficient, complex queries.
• Hands-on experience with BigQuery and other GCP data services.
• Solid understanding of data warehousing principles and best practices.
• Basic to intermediate Python skills for scripting and automation.
• Familiarity with version control systems such as Git.
• Excellent problem-solving and communication skills.
• Strong understanding of telecommunications CES and network data, including calls, chats, and network data.

Nice To Haves

• Knowledge of DBT for data modeling and transformation.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• Develop and manage DBT models to transform raw data into clean, tested, and documented datasets; this is described as nice-to-have experience.
• Write complex, optimized SQL queries for data extraction, transformation, and analysis.
• Implement and maintain data warehousing solutions to support performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
• Monitor and troubleshoot data pipeline performance and data quality issues.
• Automate data workflows and tasks using Python scripts where necessary.
• Ensure data governance, security, and compliance standards are met.

Benefits

• Paid time off, with vacation of 12–25 days depending on employee grade, plus company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

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