Data Engineering Expertise in Distributed Systems
16 godzin temu
Key responsibilities include designing and implementing scalable data processing pipelines using big data technologies, collaborating with analysts and data scientists to understand the impact on downstream data models, and contributing to the development of efficient software solutions. To succeed in this role, you should have a strong background in AWS, SQL, Python, cloud computing, Databricks, Snowflake, data engineering, VCS, Git, ETL, and Docker/Kubernetes.
Xebia offers a comprehensive range of benefits to support your career growth and well-being, including training budget, private healthcare, multisport activities, and integration events. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.
Responsibilities:
- Designing and implementing scalable data processing pipelines using big data technologies
- Collaborating with analysts and data scientists to understand the impact on downstream data models
- Contributing to the development of efficient software solutions
- Working closely with stakeholders to drive consensus within the team
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