Developing and improving data ingestion and data product frameworks
Designing and implementing scalable data governance and access control using Unity Catalog
Acting as the go-to Databricks expert, supporting and coaching development teams
Evaluating and introducing new Databricks capabilities to continuously improve the platform
Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI

Several years of experience working as a Data Engineer with Databricks in production environments
Strong expertise in Apache Spark, Python, and SQL
Experience with Unity Catalog, data governance, and modern data platform architecture
A background in building reusable frameworks and platform components
The ability to collaborate with engineers, architects, and stakeholders across different teams
Strong communication skills and a passion for knowledge sharing and technical coaching
Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage

A key role in shaping a modern enterprise data platform
The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI
A collaborative environment with highly skilled colleagues and short decision-making paths
Significant technical ownership and the opportunity to make a lasting impact

Ed:Za

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