
Data Architect with a Focus on Scalable Solutions
2 days ago
Sikich India is a leader in technology-enabled professional services. They are seeking an experienced data engineer to join their team of experts.
The ideal candidate will design, build, and optimize end-to-end data solutions using Microsoft's cutting-edge technologies such as Azure Synapse Analytics, Databricks, and Power BI.
Your work will involve implementing contemporary data architecture patterns, creating robust data pipelines, and delivering actionable analytics to inform business decisions.
You will be part of a dynamic environment that attracts top-notch employees who enjoy being at the forefront of innovation and seeing the impact of their work every day.
Main Responsibilities- Data Engineering & Architecture:
- Design and implement scalable data processing solutions using ADF, Microsoft Fabric, Synapse, and Databricks.
- Develop and optimize real-time, batch, and BYOD data pipelines.
- Data Modeling & Analytics:
- Create semantic models and dimensional models in Power BI for enterprise dashboards and self-service analytics.
- Implement row-level security, complex DAX measures, and model optimizations.
- Platform Operations & Governance:
- Apply DataOps practices, monitoring, and performance tuning for data quality and governance.
- Integrate predictive analytics with Azure ML where required.
- 5-7 years of experience in data engineering with a strong focus on Microsoft technologies.
- Strong expertise in Azure Synapse Analytics, Databricks, Power BI, SQL, T-SQL, Spark SQL, Python/Scala, DAX, and Power Query (M).
- Experience with real-time streaming and batch processing.
- Collaborative and dynamic work environment.
- Ongoing opportunities for growth and development.
- Recognition for outstanding contributions.
- Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate.
- Databricks Certified Data Engineer Associate.
- Bachelor's degree in computer science, data science, or related field (master's preferred).
- Strong problem-solving, communication, and client-facing skills.
We value innovation, collaboration, and continuous learning. 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.
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