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Mid LevelFull-timePythonAWSAzureGitAI
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to build and manage data pipelines that unify fragmented data sources into a cohesive Microsoft data platform. Your work will enable Finance, Supply Chain, and Operations teams to make informed decisions based on reliable data, and you will play a critical role in designing data architectures and ensuring data quality.
Key Responsibilities
- →Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
- →Design and implement star schemas, data lake house structures, and semantic models for Power BI.
- →Implement data quality checks, reconciliation rules, and data lineage.
- →Optimize performance and cost management for reporting in Azure.
- →Collaborate with the Data Architect to standardize data patterns and maintain coherence in the data model.
- →Develop key Power BI datasets and critical Finance and Supply Chain dashboards.
Requirements
- ✓5+ years of experience as a data engineer on the Microsoft data stack (D365, Azure, Power BI).
- ✓Strong experience with D365 entities, Dataverse, Azure Data Factory/Fabric, Synapse, or SQL DW.
- ✓Excellent SQL skills and proficiency in at least one scripting language (Python or PowerShell).
- ✓Experience consolidating data from ERP/CRM into a central model.
- ✓Ability to collaborate directly with business stakeholders on metrics and reporting.
Benefits
- ★Stock options
- ★Remote work options
- ★Flexible working hours
- ★Benefits above the law
- ★Collaborative environment with IT professionals
- ★Access to mentorship and learning opportunities
