">
Data Engineering Opportunity
">
Sikich seeks an experienced professional to join its Data & AI practice as a Data Engineer.
You will design, build and optimize end-to-end data solutions using Microsoft's data platforms.
Key Responsibilities
- 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 DataOps 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 AssociateDatabricks Certified Data Engineer AssociateQualifications
Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).Strong problem-solving, communication and client-facing skills.Work on cutting-edge Microsoft data projects, collaborate with global teams and contribute to solutions that shape the future of data-driven business decisions.