Data Engineer (Azure + Microsoft Fabric)
Job Title: Data Engineer (Azure + Microsoft Fabric)
Employment Type: Full-Time, Permanent (W2 Only)
Experience: 13+ Years (Overall IT Experience)
Location: Remote
Job Summary
We are seeking a highly experienced Data Engineer with strong expertise in Microsoft Fabric and Azure Data Engineering ecosystem. The ideal candidate will have a minimum of 13+ years of experience, primarily with reputed organizations in India, along with hands-on experience working in the USA environment. This role demands deep technical proficiency, excellent communication skills to drive enterprise-scale data solutions.
Key Responsibilities
β’ design, development, and deployment of scalable data pipelines and architectures using Microsoft Fabric and Azure.
β’ Architect and implement modern data platforms including Lakehouse, Data Warehouse, and Real-time Analytics solutions.
β’ Work extensively with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Fabric components.
β’ Build and optimize ETL/ELT pipelines for large-scale structured and unstructured data.
β’ Collaborate with cross-functional teams including Data Scientists, Analysts, and Business stakeholders.
β’ Define data governance, data quality, and security standards.
β’ Mentor and guide junior and mid-level data engineers.
β’ Drive performance tuning, cost optimization, and scalability of data systems.
β’ Participate in client discussions, requirement gathering, and solution design.
Required Qualifications
β’ 13+ years of total experience, with significant experience in top-tier Clients.
β’ Strong expertise in:
β’ Microsoft Fabric (mandatory)
β’ Azure Data Engineering stack
β’ Data Warehousing and Data Modeling concepts
β’ Hands-on experience with:
β’ Azure Data Factory (ADF)
β’ Azure Synapse / Fabric Warehouse
β’ Azure Data Lake Storage (ADLS)
β’ Spark / PySpark
β’ SQL (advanced level)
β’ Experience with real-time data processing and streaming solutions is a plus.
β’ Strong understanding of data architecture patterns (Medallion architecture, Lakehouse, etc.).
β’ Exposure to CI/CD pipelines, DevOps practices, and cloud deployment models.
Soft Skills Requirements
β’ Excellent communication and stakeholder management skills.
β’ Strong leadership and mentoring capabilities.
β’ Ability to work in a fast-paced, client-facing environment.
β’ Proven experience in handling end-to-end project ownership.
Eligibility Criteria
β’ Candidates must be authorized to work in the USA under:
β’ USC (US Citizens)
β’ Green Card Holders (GC)
β’ H4 EAD
β’ L2S Visa
Important Notes
β’ No consultancy resumes or marketing profiles will be considered.
β’ Looking strictly for genuine, hands-on technical professionals with strong project ownership.
β’ Preference will be given to candidates with a stable career history and proven impact in previous roles.
What Weβre Looking For
β’ A technically strong leader who can architect, design, and deliver enterprise-grade data solutions.
β’ Someone who combines deep technical expertise with business understanding.
β’ A professional with a track record of excellence in both India and US work environments.
Share your updated resume at:
Apply tot his job
Apply To this Job
Employment Type: Full-Time, Permanent (W2 Only)
Experience: 13+ Years (Overall IT Experience)
Location: Remote
Job Summary
We are seeking a highly experienced Data Engineer with strong expertise in Microsoft Fabric and Azure Data Engineering ecosystem. The ideal candidate will have a minimum of 13+ years of experience, primarily with reputed organizations in India, along with hands-on experience working in the USA environment. This role demands deep technical proficiency, excellent communication skills to drive enterprise-scale data solutions.
Key Responsibilities
β’ design, development, and deployment of scalable data pipelines and architectures using Microsoft Fabric and Azure.
β’ Architect and implement modern data platforms including Lakehouse, Data Warehouse, and Real-time Analytics solutions.
β’ Work extensively with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Fabric components.
β’ Build and optimize ETL/ELT pipelines for large-scale structured and unstructured data.
β’ Collaborate with cross-functional teams including Data Scientists, Analysts, and Business stakeholders.
β’ Define data governance, data quality, and security standards.
β’ Mentor and guide junior and mid-level data engineers.
β’ Drive performance tuning, cost optimization, and scalability of data systems.
β’ Participate in client discussions, requirement gathering, and solution design.
Required Qualifications
β’ 13+ years of total experience, with significant experience in top-tier Clients.
β’ Strong expertise in:
β’ Microsoft Fabric (mandatory)
β’ Azure Data Engineering stack
β’ Data Warehousing and Data Modeling concepts
β’ Hands-on experience with:
β’ Azure Data Factory (ADF)
β’ Azure Synapse / Fabric Warehouse
β’ Azure Data Lake Storage (ADLS)
β’ Spark / PySpark
β’ SQL (advanced level)
β’ Experience with real-time data processing and streaming solutions is a plus.
β’ Strong understanding of data architecture patterns (Medallion architecture, Lakehouse, etc.).
β’ Exposure to CI/CD pipelines, DevOps practices, and cloud deployment models.
Soft Skills Requirements
β’ Excellent communication and stakeholder management skills.
β’ Strong leadership and mentoring capabilities.
β’ Ability to work in a fast-paced, client-facing environment.
β’ Proven experience in handling end-to-end project ownership.
Eligibility Criteria
β’ Candidates must be authorized to work in the USA under:
β’ USC (US Citizens)
β’ Green Card Holders (GC)
β’ H4 EAD
β’ L2S Visa
Important Notes
β’ No consultancy resumes or marketing profiles will be considered.
β’ Looking strictly for genuine, hands-on technical professionals with strong project ownership.
β’ Preference will be given to candidates with a stable career history and proven impact in previous roles.
What Weβre Looking For
β’ A technically strong leader who can architect, design, and deliver enterprise-grade data solutions.
β’ Someone who combines deep technical expertise with business understanding.
β’ A professional with a track record of excellence in both India and US work environments.
Share your updated resume at:
Apply tot his job
Apply To this Job