Senior Microsoft Fabric Consultant

Senior Microsoft Fabric Engineer (IMMEDIATE JOINERS ONLY)

Position Overview :

We are seeking a highly skilled Senior Microsoft Fabric Engineer to design, implement, and optimize enterprise-scale data solutions using Microsoft Fabric. The role requires strong expertise in relational databases (MS SQL, PostgreSQL) and hands-on experience with data injection (API-to-API integrations) and data migration across heterogeneous systems.

Key Responsibilities :

> Database Engineering

> Design, manage, and optimize relational databases (MS SQL, PostgreSQL).

> Develop complex queries, stored procedures, and performance tuning strategies.

> Ensure data integrity, security, and compliance across multiple environments.

> Data Integration & Migration

> Build and maintain API data injection pipelines for seamless data exchange.

> Lead data migration projects from legacy systems to Microsoft Fabric and modern cloud platforms.

> Implement ETL/ELT processes for structured and unstructured data.

Microsoft Fabric Solutions :

> Work on scalable dataflows, lakehouses, and warehouses using Microsoft Fabric.

> Integrate Fabric with Power BI, Azure Synapse, and other Microsoft ecosystem tools.

> Automate workflows and CI/CD processes for Fabric deployments.

Collaboration & Leadership

> Partner with business stakeholders, data scientists, and analysts to deliver actionable insights.

> Mentor junior engineers and contribute to best practices in data engineering.

> Lead technical workshops and proof-of-concepts for enterprise adoption.

Qualifications

> Bachelors or Masters degree in Computer Science, Data Engineering, or related field.

> 5+ years of experience in Data Engineering & Minimum 3+ years working on Microsoft Fabric or Azure Synapse.

Strong proficiency in MS SQL and PostgreSQL database administration and development.

> Hands-on experience with API-to-API data injection and large-scale data migration projects.

> Proficiency in SQL, Python, and data modeling.

> Experience with Power BI, Azure Data Lake, and cloud-native services.

> Knowledge of data governance, security, and compliance frameworks.

> Excellent problem-solving, communication, and leadership skills.