Microsoft Fabric Developer

About Sonata Software

In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.

As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.

Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.

To know more, visit: www.sonata-software.com

Job Title: Microsoft Fabric Developer

Experience: 48 years

Role Overview:

Microsoft Fabric Developer

Microsoft Fabric architecture

Key Responsibilities:

1. Data Ingestion & Integration

• Design and implement

  data ingestion pipelines

  using

  Microsoft Fabric Data Factory

  .
• Integrate data from multiple on-premise and cloud-based sources (SQL, APIs, D365, SAP, Salesforce, etc.).
• Ensure efficient and secure data movement leveraging

  OneLake

  and

  Lakehouse

  concepts.
• Develop and maintain

  dataflows, linked services

  , and

  datasets

  within Fabric.

2. Data Engineering & Modeling

• Build

  Lakehouses, Warehouses

  , and

  Data Models

  using Fabric Data Engineering capabilities.
• Develop

  data transformation

  logic using

  PySpark, SQL, or Data Wrangler

  .
• Optimize performance, partitioning, and indexing strategies for large datasets.
• Implement

  data quality

  ,

  lineage

  , and

  governance controls

  aligned to enterprise standards.

3. Business Intelligence & Visualization

• Develop

  semantic models

  and

  interactive dashboards

  using

  Power BI within Fabric

  .
• Enable

  real-time and near-real-time analytics

  through Direct Lake or Direct Query connections.
• Collaborate with business teams to design self-service BI layers and reusable data assets.

4. Collaboration & Automation

• Collaborate with

  Data Scientists

  ,

  Analysts

  , and

  Business SMEs

  to support ML model training and deployment pipelines within Fabric.
• Automate orchestration, monitoring, and alerting for data pipelines.
• Integrate Fabric solutions with

  Power Platform

  ,

  Azure Synapse

  , or

  Azure Machine Learning

  environments.

5. Governance & Best Practices

• Implement

  data security, RBAC, sensitivity labels

  , and

  data sharing policies

  in Fabric.
• Adhere to

  data lifecycle management

  ,

  naming conventions

  , and

  cost optimization

  practices.
• Contribute to the

  Data Platform Center of Excellence (CoE)

  by documenting reusable frameworks and accelerators.

Required Skills & Experience:

• 48 years of experience in

  data engineering, BI, or analytics

  , with at least 1 year in

  Microsoft Fabric

  .
• Strong proficiency in

  Microsoft Fabric components

  , including:
• Data Factory, Lakehouse, Data Engineering, Data Science, Warehouse, Power BI, OneLake.
• Advanced skills in

  SQL

  ,

  PySpark

  , and

  Data Modeling

  .
• Experience with

  Power BI datasets, DAX, and data visualization best practices

  .
• Familiarity with

  Microsoft Purview

  for governance and

  Entra ID (Azure AD)

  for access control.
• Understanding of

  ETL/ELT pipelines

  ,

  CI/CD for data pipelines

  , and

  Azure DevOps

  integration.
• Exposure to

  Azure Synapse

  ,

  Databricks

  , or

  Azure Data Lake

  migration to Fabric.

Good-to-Have Skills:

• Experience integrating

  Microsoft Fabric with Copilot and GenAI-based insights

  .
• Knowledge of

  Python, Notebooks

  , or

  ML model deployment

  within Fabric Data Science experience.
• Understanding of

  RAG pipelines

  ,

  AI-driven analytics

  , or

  Semantic Kernel

  integration.
• Certification:

  Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

  .
• Exposure to

  D365 data sources

  ,

  Power Platform

  , or

  Azure Data Factory (legacy)

  .

Education:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent collaboration and communication abilities.
• Ability to translate business needs into data-driven outcomes.
• Focus on performance optimization, governance, and automation.