in Power BI using DAX, Power Query (M), and data modeling best practices.
Build and manage
Power Automate flows
to streamline business processes and automate recurring data operations.
Use
Python
for advanced data wrangling, API integrations, and custom analytics not natively supported by Power BI.
Develop
ETL pipelines
integrating diverse sources (SharePoint, Dataverse, SQL Server, Excel, APIs, etc.).
Collaborate with stakeholders to translate business requirements into scalable technical solutions.
Implement
role-based access control (RBAC)
, dataset refresh schedules, and gateway configurations.
Optimize query performance and data refresh reliability across Power BI and Fabric.
(Nice-to-have) Work with
Microsoft Fabric's Lakehouse, Dataflows Gen2, and Notebooks
for unified data and analytics development.
Maintain documentation and ensure adherence to governance, compliance, and data security standards.
Required Skills & Experience
4-8 years of professional experience in
Power BI
(data modeling, DAX, report design, and performance tuning).
2+ years of experience with
Power Automate / Power Apps
(workflow design, approval processes, connectors, etc.).
Strong proficiency in
Python
(Pandas, Requests, REST API handling, data transformations).
Good understanding of
SQL
and relational data concepts.
Experience integrating Power BI with
Azure services
(e.g., Synapse, Data Lake, Logic Apps) preferred.
Excellent problem-solving, analytical, and communication skills.
Good-to-Have
Experience with
Microsoft Fabric
, particularly with
Lakehouse, Data Warehouse, Data Factory, and Notebooks
.
Exposure to
Azure DevOps CI/CD pipelines
for Power BI deployments.
Familiarity with
enterprise data governance
frameworks and data lineage tools.
Education
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
* Microsoft certifications such as
PL-300 (Power BI Data Analyst)
or
PL-500 (Power Automate RPA Developer)
are a plus.
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