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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and implementing solutions on the Microsoft Azure Data Platform, including Azure Data Factory, Azure Databricks, and Microsoft Fabric. Proficient in building scalable data pipelines and optimizing performance through advanced SQL and PySpark techniques.
Highest-signal resume keywords
Azure Data Platform ExpertiseMicrosoft Fabric DevelopmentSQL Performance OptimizationData Pipeline DevelopmentDevOps CI/CD Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
SQLPySparkData Pipeline DevelopmentPerformance TuningQuery OptimizationDelta Lake OperationsData ModelingT-SQLSSISAzure Data Factory
Soft Skills
MentoringCommunication
Tools & Technologies
Microsoft FabricAzure Data Lake StoreAzure SQL DBAzure DatabricksSSASSSRS
Industry Keywords
AgileData AnalyticsEnd-to-End SolutionsIncremental LoadFull Load
Tech Stack
Tools & technologiesAzurePySparkPythonScalaSQLSSIS
About the role
Key responsibilities & impact- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in the Microsoft Azure Data Platform
- Lead and design solutions on Microsoft Fabric and Azure data platforms
- Mentor peers to develop expertise in Azure data platform solutions
- Build end-to-end solutions using the Azure data analytics platform
- Build Azure data analytics solutions using a DevOps CI/CD approach
- Develop scalable and optimized data pipelines
- Perform performance tuning, query optimization, and pipeline runtime improvement
- Work with Fabric notebooks, large dataset merges and joins, and incremental versus full load processes
Requirements
What you’ll need- Bachelor’s degree with 12+ years of relevant professional experience
- At least 8 years of hands-on experience working with Azure Data Platform technologies
- Intermediate-level hands-on experience with Microsoft Fabric, including Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, and Delta tables
- Expertise in SQL, including complex transformations, joins across modules, optimization, and indexing strategies
- Strong hands-on experience in PySpark, Delta Lake operations, and scalable distributed processing
- Ability to build scalable and optimized data pipelines following best engineering practices
- Experience with performance tuning, query optimization, and pipeline runtime improvement
- Strong understanding of incremental load and full load mechanisms, including change detection, Delta merge operations, surrogate key handling, and data reconciliation
- Experience working with Fabric notebooks, merging and joining large datasets, and handling incremental versus full loads
- Strong database concepts, data modelling, stored procedures, complex query writing, and SQL performance optimization
- Strong experience with T-SQL, SSIS, SSAS, SSRS, Azure Data Factory, Azure Data Lake Store, Azure SQL DB, and Azure Databricks with Python or Scala
- Experience building end-to-end solutions using the Azure data analytics platform
- Experience building Azure data analytics solutions with a DevOps CI/CD approach
- Good communication and ability to understand business logic behind systems
Benefits
Comp & perks- Skills-based career approach
- Opportunities to work on meaningful sustainable solutions
- Equality, diversity, inclusion and belonging commitment
- Great place to work and employer-of-choice ambition