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Salary Range
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Experience Level
Senior
Requirements
Desired Skills
Tasks and Responsibilities
Show originalWe are Randstad, a global leader in talent solutions. We are looking for a Senior Data Engineer - GCP to work with one of our clients within the AI & Data team.
Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines.
- Ensure data quality, integrity, and reliability throughout the entire processing lifecycle.
- Implement ETL/ELT processes for data movement and availability across different systems.
- Serve as a Subject Matter Expert (SME) in Data Engineering.
- Collaborate with multidisciplinary teams, promoting technical alignment and knowledge sharing.
- Support technical decision-making and contribute to solving complex problems.
- Develop and optimize scalable data architectures.
- Work in partnership with data scientists, analysts, and other stakeholders.
- Lead initiatives focused on monitoring, performance, and pipeline reliability.
- Document processes, standards, and best practices.
- Contribute to the evaluation and adoption of new technologies, tools, and frameworks.
Desired Technical Profile
Required Skills: Python, SQL, Apache Airflow (Google Composer), data pipeline development (Streaming, Batch Processing, CDC), Google BigQuery, Google Cloud Platform (GCP), Medallion Architecture (Bronze, Silver, and Gold).
Desired Skills: GitLab CI/CD, experience in cloud data environments, experience in projects within the Utilities (Energy) sector.
Differentials: Previous experience in the Energy and Utilities sector, knowledge of modern data architectures and cloud platforms, analytical profile, proactive attitude, and problem-solving orientation.
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