Job Opportunity :
We seek an experienced Data Engineer to design, build and optimize end-to-end data solutions using Microsoft's data platforms. This includes implementing contemporary data architecture patterns, creating robust data pipelines, and delivering insight-driven analytics.
About the Role :
- 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.Requirements :
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 QUALIFICATIONS :
Microsoft Certified : Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst AssociateDatabricks Certified Data Engineer AssociateEducation :
Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).Strong problem-solving, communication, and client-facing skills.Why Choose Us :
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.