Provoke SolutionsRemote
Microsoft Fabric - Data Engineer
United States of America
Full Time
1 hour ago
No H1B
Key skills
Microsoft Fabric LakehouseMicrosoft Fabric WarehouseMicrosoft Fabric Data Factory pipelinesMicrosoft Fabric NotebooksMicrosoft Fabric OneLakePySparkSQLMedallion architectureDelta Lake patternsPower BIFabric Semantic Model integrationDirectLake connectivityAzure DevOpsGitHubCI/CDMicrosoft certification DP-600Microsoft certification DP-203dbtMicrosoft PurviewUnity CatalogData meshPythonAIData EngineeringAnalyticsBIAzureVersion ControlSDLCCommunicationCollaboration
About this role
Provoke Solutions is a global consulting firm that builds AI-native solutions to transform work processes. They are seeking a Data Engineer to develop modern data platforms and deliver scalable solutions throughout the data engineering lifecycle, emphasizing client collaboration and innovative problem-solving.
Responsibilities:
- Deliver Microsoft Fabric solutions including Lakehouses, Data Pipelines, Notebooks, and Semantic Models
- Build and maintain data pipelines and transformations using SQL, Python, and or PySpark
- Translate defined business and technical requirements into working data solutions
- Contribute to development sprints by completing assigned stories end-to-end including development, testing, and validation
- Debug and troubleshoot data issues across pipelines and datasets
- Follow established data engineering best practices, coding standards, and CI CD processes
- Collaborate with senior engineers, analysts, and client stakeholders to deliver high quality outcomes
- Collaborate with Data Analysts and BI teams to ensure Fabric Semantic Models and Power BI datasets meet reporting needs
Requirements:
- 2 to 4 years of experience in data engineering, software engineering, or a related field including internships
- Proactively using Gen AI and Agents at every step of the SDLC to improve quality and speed
- Hands-on proficiency and working experience with Microsoft Fabric: Lakehouse, Warehouse, Data Factory pipelines, Notebooks, and OneLake
- Strong PySpark and SQL skills
- Experience designing medallion (bronze/silver/gold) architectures and applying Delta Lake patterns
- Familiarity with Power BI and Fabric Semantic Model integration, including DirectLake connectivity
- Experience with Azure DevOps or GitHub for CI/CD, version control, and deployment automation of Fabric workloads
- Ability to take a task from requirements to completed implementation with guidance as needed
- Clear communication skills and ability to collaborate effectively in a team and with the client
- Microsoft certifications: DP-600 (Fabric Analytics Engineer), DP-203 (Azure Data Engineer), or equivalent
- Experience with dbt or other transformation frameworks within Fabric or Azure-based stacks
- Exposure to data governance tooling (Microsoft Purview, Unity Catalog, or similar)
- Background in data mesh or domain-oriented data ownership models