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Tech Stack
Tools & technologiesApacheAWSPythonSparkSQLUnity
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data IngestionData GovernanceModern Data Platform ArchitectureReusable FrameworksUnity Catalog
Soft Skills
Strong Communication SkillsKnowledge SharingTechnical Coaching
Certifications
Databricks Certifications
