About the job
Become a part of New Era Technology, where our "People First" philosophy drives everything we do. With a vibrant workforce of over 3,000 professionals globally, we're dedicated to fostering an inclusive workplace where every individual feels appreciated, empowered, and motivated to advance in their careers. Our goal is to securely link people, places, and information with comprehensive technology solutions at scale.
At New Era, you will immerse yourself in a collaborative culture that values your personal and professional growth. Collaborate with industry-certified experts, engage in continuous training opportunities, and enjoy a range of competitive benefits. Our core values—prioritizing people, embracing ongoing learning, and flourishing through collaboration and inclusion—drive us to cultivate talent that excels in delivering outstanding customer service.
If you are eager to make a significant impact in a supportive environment focused on growth, New Era is the ideal place for you. Apply today and join us in shaping the future of work together!
Job Title: Senior Data Engineer – Microsoft Fabric
Experience: 6–8 Years
Location: India Remote
Employment Type: Full-time / Contract
Job Summary
We are on the lookout for a seasoned Data Engineer with significant expertise in Microsoft Fabric, PySpark, Python, and SQL to design, construct, and enhance scalable data pipelines and analytics solutions. The ideal candidate will possess hands-on experience with Lakehouse architecture, data integration, and extensive data processing to facilitate enterprise analytics and reporting.
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL/ELT processes utilizing Microsoft Fabric and PySpark.
- Construct and oversee Lakehouse and Data Warehouse solutions within the Microsoft Fabric framework.
- Create scalable data processing workflows using Python and PySpark.
- Develop optimized SQL queries for data transformation, analysis, and performance enhancement.
- Integrate data from various sources...

