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Senior Data Engineer in GCP Ecosystem
Job Description & How to Apply Below
As a key member of the engineering team, you will handle the design and implementation of ETL/ELT pipelines using GCP services like Big Query and Dataflow.
Your role includes mentoring, coding, and establishing efficient data practices while enhancing performance and optimizing costs across projects. Collaborate closely with other engineers to drive innovation.
Key Responsibilities:
• Design and enhance ETL/ELT pipelines with Dataflow
• Architect and manage data solutions like Big Query
• Supervise and develop junior engineering talent
• Implement robust data validation and governance
• Enhance cost-efficiency in data management workflows
Requirements:
• Strong SQL and Python programming skills
• Hands-on with GCP services including Dataflow
• Familiar with CI/CD, Git, and Terraform
• Experience in real-time data processing is advantageous
• Preferred GCP certifications for better placement
Join Capgemini and lead transformative projects in data engineering.
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Position Requirements
10+ Years
work experience
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