Job Summary:

We’re looking for a skilled and passionate Data Engineer to build robust, scalable data platforms using cutting-edge technologies.

If you have expertise in Databricks, Python, PySpark, Azure Data Factory, Azure Synapse, SQL Server, and a deep understanding of data modeling, orchestration, and pipeline development, this is your opportunity to make a real impact.

You’ll thrive in our cloud-first, innovation-driven environment, designing and optimizing end-to-end data workflows that drive meaningful business outcomes.

If you're committed to high performance, clean data architecture, and continuous learning, we want to hear from you!

Required Qualifications:

• Education: BE, ME/MTech, MCA, MSc, MBA, or equivalent industry experience
• Experience: 5–8 years working with data engineering technologies ( Databricks, Azure, Python, SQL Server, PySpark, Azure Data Factory, Synapse, Delta Lake, Git, CI/CD Tech Stack, MSBI etc.)

Preferred Qualifications & Skills:

Must-Have Skills:

• Expertise in relational & multi-dimensional database architectures
• Proficiency in Microsoft BI tools (SQL Server SSRS, SSAS, SSIS), Power BI, and SharePoint
• Strong experience in Power BI MDX, SSAS, SSIS, SSRS, Tabular & DAX Queries
• Deep understanding of SQL Server Tabular Model & multidimensional database design
• Excellent SQL-based data analysis skills
• Strong hands-on experience with Azure Data Factory, Databricks, PySpark/Python

Nice-to-Have Skills:

• Exposure to AWS or GCP
• Experience with Lakehouse Architecture, Real-time Streaming (Kafka/Event Hubs), Infrastructure as Code (Terraform/ARM)
• Familiarity with Cognos, Qlik, Tableau, MDM, DQ, Data Migration
• MS BI, Power BI, or Azure Certifications