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Description:
Seeking an experienced Senior Data Engineer for the Data&AI tribe to work on diverse projects in telecommunications, automotive, healthcare, and public sectors.
Responsibilities include building data pipelines, managing Lakehouse datasets, developing Python frameworks, applying best practices, ensuring data reliability, and mentoring team members.
Requirements:
3–5 years of hands-on experience in building data pipelines in production environments.
Proficient in Databricks and/or Microsoft Fabric ecosystems.
Strong skills in Python (PySpark) and SQL, with experience in complex data transformations.
Solid understanding of Delta Lake concepts and Lakehouse architectures.
Familiar with software engineering principles, Git, and CI/CD processes.
Proactive, reliable, and able to work independently in an agile team.
Strong communication skills in English (spoken and written).
Benefits:
Opportunity to work with modern data technologies and diverse projects.
Collaborative team environment with a focus on knowledge sharing and mentoring.