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Power BI Data Engineer

EXTRA HOLIDAYS

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Serbia

Offer summary

Qualifications:

Advanced skills in Power BI, Proficiency in Azure Data Engineering, Experience with SQL Server, Strong knowledge of MSBI technologies, Expertise in DAX coding.

Key responsabilities:

Design and develop datasets and reports using Power BI
Manage data integration and pipelines with Azure services
Develop and optimize SQL queries and ETL processes
Design scalable data solutions to meet business needs
Apply DevOps methodologies for streamlined workflows

Joyful Craftsmen Information Technology & Services Scaleup https://joyfulcraftsmen.com/

11 - 50 Employees

See more Joyful Craftsmen offers

Job description

Your missions

We are seeking an experienced Power BI Data Engineer to join our dynamic team. The ideal candidate will possess advanced technical skills in Power BI, Azure Data Engineering, and SQL Server, combined with a passion for solving complex data challenges. As a Power BI Data Engineer, you will work on designing and implementing end-to-end data solutions, focusing on financial and business analytics, and collaborating with cross-functional teams to deliver insights that drive business growth.

Key Responsibilities (listed by relevance):

Power BI Development: Design and develop datasets, data models, and reports using Power BI, ensuring optimal performance and scalability.
MSBI Expertise: Utilize experience with MSBI technologies to build robust datasets and models, including proficient DAX coding.
Azure Data Engineering: Manage data integration, pipelines, and warehousing using Azure services like Azure Data Factory (ADF) and Azure Synapse.
SQL Server Expertise: Develop and optimize complex SQL queries, stored procedures, and ETL processes for data management.
Solutions Architecture: Design and implement scalable data solutions that meet business requirements.
DevOps Practices: Apply DevOps methodologies to streamline data engineering workflows, ensuring efficient continuous integration and delivery.