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Job Description & How to Apply Below
Sikich ( ) is a global company specializing in technology enabled-professional services. Sikich draws on a diverse portfolio of technology solutions to deliver transformative digital strategies and ranks as one of the largest CPA firms in the United States. Our dynamic environment attracts top-notch employees who enjoy being at the cutting edge and seeing every day how their work makes a difference.
Key Responsibilities
Data Engineering & Architecture
Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.
Build data models for scalable data processing, endpoint processing, and integration.
Develop and optimize data pipelines (real-time, batch, and BYOD).
Data Modeling & Analytics
Create semantic models and dimensional models in Power BI.
Build enterprise dashboards, paginated reports, and self-service analytics solutions.
Implement row-level security, complex DAX measures, and model optimizations.
Platform Operations & Governance
Apply Data Ops practices, monitoring, and performance tuning.
Ensure data security, quality, and governance.
Integrate predictive analytics with Azure ML where required.
Required Skills & Experience
5–7 years of data engineering experience (minimum 3 years in Microsoft technologies).
Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
Proven track record in implementing medallion architecture and enterprise BI solutions.
Preferred Certifications (nice to have)
Microsoft Certified:
Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate
Databricks Certified Data Engineer Associate
Qualifications
Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).
Strong problem-solving, communication, and client-facing skills.
Why Join Us
At Sikich, you will work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions. We value innovation, collaboration, and continuous learning.
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