Sr. Azure Data Fabric Engineer

Absolutelabs; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Growth-focused environment

Build and lead teams

Collaborative culture

Hybrid work model

Job summary

AbsoluteLabs in Hyderabad is seeking a data engineering leader to design and build end-to-end data pipelines using Microsoft Fabric and Azure Data Factory. The role covers data model development across OneLake and Fabric Workspace, and optimizing SQL, PySpark, and DAX for large-scale analytics.

Collaborate with stakeholders to translate business requirements into scalable data solutions, ensure governance and cost efficiency, and participate in CI/CD workflows with Azure DevOps and Git.

Qualifications

• Design and implement end-to-end data pipelines with Microsoft Fabric and ADF.
• Build and manage data models across OneLake and Fabric Workspace.
• Develop and optimize SQL, PySpark, and DAX for large-scale analytics.
• Integrate Fabric workloads with ADLS Gen2, Synapse, Databricks, and Power BI.
• Apply medallion architecture and SDLC best practices for data quality.
• Collaborate with stakeholders to translate business requirements into scalable data solutions.
• Ensure data governance, lineage tracking, and compliance with Purview and Fabric governance features.
• Monitor performance, optimize costs (FinOps), and maintain SLAs.
• Participate in CI/CD pipelines for data workloads using Azure DevOps and Git.

Responsibilities

• Design and develop end-to-end data pipelines using Microsoft Fabric and ADF.
• Build and manage data models across OneLake and Fabric Workspace.
• Develop and optimize SQL, PySpark, and DAX queries for large-scale analytics.
• Integrate Fabric workloads with Azure data services and Power BI.
• Implement medallion architecture and SDLC processes for data quality.
• Collaborate with stakeholders to translate business requirements into reusable data assets.
• Ensure governance, lineage tracking, and compliance using Purview and Fabric features.
• Monitor, troubleshoot, and optimize data workflows, manage costs, and ensure SLAs.
• Participate in CI/CD pipeline setup for data workloads.

Skills

Microsoft Fabric

Azure Data Factory

SQL

PySpark

DAX

Data modeling

Data governance

FinOps

CI/CD pipelines

Education

Degree or equivalent

Tools

OneLake

Fabric Workspace

Power BI

Azure Databricks

Azure Synapse

Purview

Job description

About AbsoluteLabs

We are a boutique consulting organization with specialization in business and technology consulting, offering comprehensive digital transformation services. Our mission is to empower clients to maintain their competitive edge and foster innovation by staying ahead of evolving customer behaviors. With our tailored approach, we bring unparalleled expertise in specific industry verticals, enabling our clients to remain agile, adaptable, and innovative in today's digital landscape.

Experience: 10+ Years

Qualification: Degree or equivalent

Job Location: Hyderabad

Job Type: Full-Time

Key Responsibilities

• Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines) and Azure Data Factory (ADF). Build and manage models in the Microsoft Fabric ecosystem.
• Build and manage data models across OneLake and Fabric Workspaces, ensuring well-structured environments, access, and collaboration across teams.
• Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
• Integrate Fabric workloads with Azure services including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
• Implement medallion architecture and data modelling best practices, following standard SDLC practices to ensure data quality, consistency, and reliable releases.
• Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
• Ensure data governance, lineage tracking, and compliance using Microsoft Purview and Fabric's built-in governance features.
• Monitor, troubleshoot, and performance-tune data workflows, keeping an eye on capacity usage and cost efficiency (FinOps) while ensuring SLAs are met.
• Participate in CI/CD pipeline setup for data workloads using Azure DevOps and Git-based version control.

Required Skills & Experience

• Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines); hands-on Azure Data Factory (ADF) experience is mandatory.
• Build and manage data models within the Microsoft Fabric ecosystem, including OneLake and Fabric Workspace setup and management.
• Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
• Integrate Fabric workloads with Azure services, including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
• Implement medallion architecture (Bronze / Silver / Gold) and data modelling best practices, with a good grasp of SDLC processes to ensure data quality and consistency.
• Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
• Ensure data governance, lineage tracking, and compliance using Microsoft Purview and Fabric's built-in governance features.
• Monitor, troubleshoot, and performance-tune data workflows, applying FinOps thinking to manage costs while resolving bottlenecks and ensuring SLAs are met.
• Participate in CI/CD pipeline setup for data workloads using Azure DevOps and Git-based version control.

Why Absolutelabs

• Growth-Focused Environment: Gain hands-on experience, mentorship, and opportunities to advance your career in a dynamic tech space.
• Build and Lead: This is your chance to shape and lead a team like no other—a team built on collaboration, respect, and innovation, where you’ll make things happen every day.
• Collaborative Culture: We foster a creative, inclusive, and growth-oriented work environment where innovation and diverse ideas thrive.
• Work-Life Flexibility: Thrive in a hybrid work environment where autonomy and flexibility come together to support your well-being and productivity.