[Hiring] Google Cloud API Data Engineer @Capgemini

Role Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments.

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
• Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
• Implement best practices for data security, governance, CI/CD, and automated deployment.
• Collaborate with data engineers, architects, data scientists, and business stakeholders.
• Produce high-quality, reusable code and mentor team members on best practices.
• Support testing, deployment, monitoring, and production troubleshooting.

Qualifications

• 10+ years of IT experience with 5+ years in Data Architecture.
• Minimum 2+ years of hands-on experience with Google Cloud Platform.
• 2+ years of API development experience.
• Strong experience with:
• BigQuery, Cloud Run, GKE, Cloud Functions
• Python (FastAPI), Java, or Scala
• Apigee, Kafka, Spark Streaming
• SQL, CI/CD, Git/GitHub
• Solid understanding of Agile methodologies.
• Strong problem-solving, communication, and collaboration skills.
• Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
• Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
• Experience with CI/CD, Git/GitHub, and Agile methodologies.
• Strong communication skills and ability to mentor junior engineers.

Requirements

• Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
• Google Cloud Professional Data Engineer Certification.
• Bachelor’s degree in computer science or related field (Master’s preferred).

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 (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.