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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data engineering solutions using the Databricks Lakehouse Platform, with a strong focus on data governance, security, and access control. Proficient in translating business requirements into effective data models and implementing robust data pipelines.
Highest-signal resume keywords
Databricks Lakehouse PlatformETLDatabricks SQLSpark SQLPySpark
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingData IngestionData TransformationData OrchestrationSQL Database ManagementAdvanced Excel
Tools & Technologies
Unity CatalogBusiness Intelligence Tools
Industry Keywords
Data GovernanceRBACAnalytics CapabilitiesProof of Concepts
Tech Stack
Tools & technologiesETLPySparkSparkSQLUnity
About the role
Key responsibilities & impact- Design and build scalable, production-grade data engineering solutions using the Databricks Lakehouse Platform
- Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
- Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
- Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
- Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities
Requirements
What you’ll need- Graduate in Computer Science, Data Science, Information Technology, or a related field
- 2-3 years of experience in ETL or data management
- Databricks SQL, Spark SQL, and PySpark
- Unity Catalog
- RBAC
- Advanced Excel
- Business Intelligence Tools
- SQL Database Management
