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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Data Warehousing, with a strong focus on Microsoft Fabric, ETL/ELT processes, and advanced Power BI capabilities. Proficient in T-SQL development, dimensional modeling, and large-scale data processing using Python and PySpark.
Highest-signal resume keywords
Data EngineeringMicrosoft FabricT-SQL DevelopmentPower BIDimensional Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
T-SQLPythonPySparkETLData WarehousingData IntegrationData GovernanceDimensional ModelingDAXData Quality
Soft Skills
Analytical SkillsProblem-SolvingCommunicationOrganizational SkillsTeam-Oriented
Tools & Technologies
Microsoft FabricPower BISSISData FactoryData PipelinesDataflows Gen2LakehousesData WarehousesOneLakeAgile/Scrum
Certifications & Qualifications
Microsoft Fabric Certifications
Industry Keywords
Data EngineeringData WarehousingBusiness IntelligenceEnterprise AnalyticsCI/CDDevOpsSlowly Changing DimensionsAudit SolutionsLogging SolutionsMonitoring Solutions
Tech Stack
Tools & technologiesAzureETLPySparkPythonSparkSQLSSIS
About the role
Key responsibilities & impact- Design, develop, and maintain scalable enterprise data warehouse solutions
- Build, optimize, and support ETL/ELT pipelines using modern data integration tools and frameworks
- Develop and maintain data ingestion, transformation, and orchestration processes in Microsoft Fabric
- Create and manage Fabric Data Engineering workloads, including Data Pipelines, Dataflows Gen2, Notebooks, Lakehouses, and Warehouses
- Design and implement dimensional models using Star and Snowflake Schemas
- Develop complex T-SQL code, including stored procedures, views, functions, and performance optimization
- Build and maintain Power BI semantic models, reports, dashboards, and DAX measures
- Develop data engineering solutions using Python and PySpark for large-scale data processing
- Monitor data quality, troubleshoot issues, and implement data governance best practices
- Collaborate with business users and technical teams to gather requirements and translate them into scalable data solutions
- Participate in architecture reviews, code reviews, and technical design discussions
- Support deployment, monitoring, performance tuning, and production support activities
Requirements
What you’ll need- 5+ years of experience in Data Engineering, Data Warehousing, or Business Intelligence
- Extensive experience with SQL Server, T-SQL Development, SSIS, and enterprise data warehousing
- Strong experience with dimensional modeling, including Star Schemas, Snowflake Schemas, Fact and Dimension Tables, and Slowly Changing Dimensions (SCD)
- Hands-on experience with Microsoft Fabric, including Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, Lakehouses, Data Warehouses, and OneLake
- Strong experience using Python, PySpark, and Spark-based data processing
- Advanced Power BI skills, including semantic models, dataset design, DAX development, dashboard development, and performance optimization
- Experience with data integration, ETL/ELT frameworks, data quality processes, and data governance practices
- Ability to work independently with minimal supervision
- Strong analytical and problem-solving abilities
- Excellent communication and stakeholder management skills
- Strong documentation and organizational skills
- Team-oriented mindset and willingness to mentor and share knowledge
- Ability to manage multiple priorities in a fast-paced environment
- Valid photo identification required at the start of virtual interviews, except for internal candidates
- Microsoft Fabric Certifications preferred
- Azure Data Engineering experience preferred
- Experience implementing metadata-driven ingestion frameworks preferred
- Experience building audit, logging, and monitoring solutions preferred
- Knowledge of CI/CD processes and DevOps practices preferred
- Experience supporting large-scale enterprise analytics platforms preferred
- Experience with Agile/Scrum methodologies preferred
Benefits
Comp & perks- Opportunity to develop skills and advance professionally
- Opportunity to challenge the status quo and shape the future of protection
- Opportunity to support causes that matter to employees
- Camera-on virtual interview process
- Interview accommodations available upon request