May 5, 2026

C2C

vinod.tiwari@tekgence.com

Responsible for understanding requirements and performing data analysis.
Responsible for setup of Microsoft Fabric and its components.
Building secure, scalable solutions across the Microsoft Fabric platform.
Create and manage Lakehouse.
Implement Data Factory processes for data ingestion, scalable ETL, and data integration.
Design, implement, and manage comprehensive warehousing solutions for analytics using Fabric.
Create and schedule data pipelines using Azure Data Factory.
Build robust data solutions using Microsoft data engineering tools like Notebook, Lakehouse, and Spark applications.
Build and automate deployment pipelines using CI/CD tools for release of Fabric content from lower to higher environments.
Set and use Git as a repository and version control for Fabric components.
Create and manage Power BI reports and semantic models.
Write and optimize complex SQL queries to extract and analyze data, ensuring accurate reporting.
Work closely with customers, business analysts, and project teams to understand business requirements and align with architecture standards.
Follow change management procedures to implement project deliverables.
Coordinate with support teams to resolve issues in a timely manner.

Job Qualifications

Mandatory

Bachelor’s degree in Computer Science or related field, or equivalent experience.
3+ years of experience working in Microsoft Fabric.
Expertise in OneLake, Lakehouse, Warehouse, and Notebooks.
Strong understanding of Power BI reports and semantic models using Fabric.
Proven experience building ETL and data solutions using Azure Data Factory.
Strong understanding of data warehousing concepts and ETL processes.
Hands-on experience building data warehouses in Fabric.
Strong skills in Python and PySpark.
Practical experience implementing Spark in Fabric, scheduling Spark jobs, and writing Spark SQL queries.
Experience using Data Activator for data asset management and analytics.
Ability to adapt to different tools and technologies.
Strong learning attitude.
Good written and verbal communication skills.
Experience working in distributed teams across multiple locations.

Preferred