Sikich India is seeking an experienced Data Engineer to join our Data & AI practice. You will design, build, and optimize end-to-end data solutions using Microsoft’s data platforms, including Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. Your work will involve implementing contemporary data architecture patterns (e.g., medallion, Data Mesh, Zone-Based, or Lambda, etc...), creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions.
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).
Robust 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 proce

📌 Data engineer (Delhi)
🏢 Sikich India
📍 Delhi