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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 implementing enterprise data solutions using Microsoft Fabric, with strong capabilities in SQL/T-SQL and Python/PySpark for data transformation and integration. Proven ability to manage end-to-end data processes, ensuring data quality, security, and compliance across various business domains.
Highest-signal resume keywords
Microsoft Fabric ImplementationSQL/T-SQL ProficiencyPython/PySpark DevelopmentData Engineering ExperienceMicrosoft Certified: Fabric Data Engineer Associate
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 IntegrationDimensional ModelingChange-Data CaptureData ValidationData OrchestrationSpark/SQL TuningDelta Table OptimizationData MappingProduction TroubleshootingUpsert and Deduplication Processes
Soft Skills
Clear CommunicationStakeholder CollaborationDelivery CommitmentDocumentation SkillsTesting and UAT Support
Tools & Technologies
Microsoft FabricPower BIAzure Data FactoryAzure DatabricksGit IntegrationDynamics 365SAP ECCS4HANAADLS Gen2Microsoft Purview
Certifications & Qualifications
Microsoft Certified: Fabric Data Engineer Associate (DP-700)Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Industry Keywords
Data SolutionsEnterprise ApplicationsBusiness DomainsProcurementHRFinanceSalesInventoryReal-Time ProcessingEvent Streams
Tech Stack
Tools & technologiesAzureERPPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, deploy, and support enterprise data solutions on Microsoft Fabric
- Own delivery from source integration through reliable, business-ready datasets
- Implement and support end-to-end Fabric solutions in production
- Integrate databases, APIs, files, and enterprise applications
- Develop transformations and reusable processing logic using SQL/T-SQL and Python/PySpark
- Build loading, change-data-capture, upsert, deduplication, schema-change, and late-arriving-data processes
- Implement dimensional models, data validation, and source-to-target reconciliation
- Configure orchestration, scheduling, logging, alerts, retries, and safe reruns
- Implement security, governance, permissions, access controls, secure connections, sensitivity labels, and lineage
- Manage Git integration, deployment pipelines, and controlled promotion across environments
- Tune Spark/SQL workloads, optimize Delta tables, troubleshoot production issues, and analyze capacity consumption
- Produce curated datasets for Power BI and manage semantic model, Direct Lake, and refresh dependencies
- Translate business requirements into data mappings, transformation rules, and acceptance criteria
- Collaborate with stakeholders, architects, analysts, and source-system teams
- Own estimates, delivery commitments, testing, UAT support, documentation, and operational handover
- Explain technical decisions in terms of business value, cost, performance, and reliability
Requirements
What you’ll need- 5+ years of data engineering experience
- At least 1–2 years of hands-on Microsoft Fabric implementation experience
- Proven delivery of at least one end-to-end Microsoft Fabric solution running in production, including deployment and post-go-live support
- Active Microsoft Certified: Fabric Data Engineer Associate (DP-700) certification with a verifiable credential link
- Relevant degree or equivalent professional experience
- Expertise in OneLake, Lakehouse, Warehouse, Delta tables, and Bronze/Silver/Gold architecture
- Experience with Fabric Data Factory pipelines, Dataflows Gen2, notebooks, and integrations with databases, APIs, files, and enterprise applications
- Strong SQL/T-SQL and Python/PySpark skills
- Experience with full and incremental loads, change-data capture, upserts, deduplication, schema changes, and late-arriving data
- Experience with dimensional modeling, fact/dimension tables, slowly changing dimensions, validation rules, and source-to-target reconciliation
- Experience with parameterized pipelines, dependencies, scheduling, logging, alerts, retries, and safe reruns
- Knowledge of workspace/item permissions, data-level access controls, secure connections, sensitivity labels, and lineage
- Experience with Git integration, deployment pipelines, and controlled promotion across development, test, and production
- Experience with Spark/SQL tuning, Delta table optimization, production troubleshooting, and Fabric Capacity Metrics
- Understanding of Power BI curated datasets, semantic models, Direct Lake, and refresh dependencies
- Proven experience across at least two business domains, preferably three, such as Procurement, HR, Finance, Sales, or Inventory
- Ability to explain business processes, KPIs, source data, reporting requirements, and personal implementation contribution
- Ability to translate business requirements into documented data mappings, transformation rules, and acceptance criteria
- Understanding of data grain, business keys, historical reporting, and reconciliation requirements
- Clear communication with business stakeholders, architects, analysts, and source-system teams
- Ability to own estimates, delivery commitments, testing, UAT support, documentation, and operational handover
- Preferred: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Preferred: Experience with Dynamics 365/Dataverse, SAP ECC, S4HANA, or other ERP/CRM platforms
- Preferred: KQL, Eventstreams, Eventhouse, and real-time processing experience
- Preferred: Azure Data Factory, Azure Databricks, ADLS Gen2, and Microsoft Purview experience
- Preferred: Client-facing consulting experience
Benefits
Comp & perks- No specific benefits, perks, or compensation extras are stated in the posting