Informacje o stanowisku
Your profile:
- Expert level knowledge of Python, with 2+ years of production PySpark experience;
- 1+ years of hands-on architecture experience on Databricks, with deep understanding of Unity Catalog and Hive megastore;
- 3+ years of technical leadership experience, driving engineering strategy and team delivery;
- Proven experience leading enterprise-scale data platform migrations, strong background in distributed system design handling petabyte-scale data;
- Solid understanding of data governance, compliance, and audit requirements;
- Experience designing robust APIs and integration patterns for enterprise environments;
- Passion for defensive programming and building scalable, reliable software;
- Excellent written and verbal communication skills, able to lead cross-functional collaboration;
- Strong problem-solving skills, strategic thinking, and decision-making under ambiguity;
- Good verbal and written communication skills in English (min B2);
- Availability tow ork with US East Coast time zone;
Nice-to-have:
- Experience as a Staff or Principal Engineer at a major technology company;
- Contributions to open-source data platforms;
- Experience working directly with large enterprise customers in a sales engineering context;
- Degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
,[Defining and evolving the technical roadmap for UCX migration workflows and platform architecture;, Driving key architectural decisions and ensuring consistency across storage, compute, and governance layers;, Leading the design and implementation of complex migration features and data workflows;, Optimizing Spark workloads and ensuring performance, reliability, and scalability of the platform;, Mentoring engineers, setting coding standards, and promoting best engineering practices;, Researching and prototyping new migration capabilities and Unity Catalog integrations; Requirements: Python, PySpark, Cloud, AI, Data engineering, Data science, Machine Learning, Storage, Spark, Prototyping, UNITY, Databricks, Hive, Audit, Communication skills, Degree
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