Job Description
Design develop and maintain scalable data pipelines and ETL/ELT processes
Build optimize and maintain Power BI reports dashboards and semantic models
Extract transform and integrate data from Microsoft Dynamics 365 environments
Write optimize and troubleshoot complex SQL queries and stored procedures
Develop Python notebooks for data transformation automation and analysis
Lead data migration initiatives including planning execution validation and reconciliation
Collaborate with business stakeholders to gather requirements and translate them into technical solutions
Ensure data quality performance security and governance across analytics platforms
Support deployment monitoring and optimization of data solutions in production
8 years of experience in data engineering and business intelligence
Strong experience with Microsoft Fabric (Data Factory Synapse Lakehouse)
Advanced expertise in Power BI including DAX Power Query dataflows and deployment pipelines
Strong proficiency in SQL Server / Azure SQL including T-SQL and performance tuning
Proficiency in Python including pandas PySpark and notebook development
Hands-on experience with Dynamics 365 data structures and integration patterns
Proven experience with data migration methodologies and validation techniques
Preferred Qualifications:
Experience with the Azure Data Services ecosystem
Strong knowledge of data modeling data warehousing and dimensional design
Experience with version control and CI/CD pipelines for data and BI projects
Familiarity with data governance security and compliance best practices
Required Experience:
Senior IC
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