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Fabric Data Engineer @ Exponentia.ai

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Exponentia.ai  Fabric Data Engineer

Job Description

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:

  • Innovation Partner of the Year Databricks, 2024
  • Digital Impact Award, UK 2024 (TMT Sector)
  • Rising Star APJ Databricks Partner Awards 2023
  • Qliks Most Enabled Partner APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About the Role:

We are seeking a talented MS Fabric Engineer to design, build, and optimize data and analytics solutions on the Microsoft Fabric platform. The ideal candidate should have hands-on experience with Fabric components such as Lakehouse, Data Factory, Data Engineering notebooks, Dataflows, Power BI, and Real-Time Analytics. This role involves developing scalable pipelines, semantic models, and data workflows while collaborating with cross-functional teams

Key Responsibilities

Data Engineering & Pipeline Development

  • Build and maintain data ingestion and transformation pipelines using:
    • Fabric Data Factory (pipelines & orchestration)
    • Data Engineering notebooks (Spark/Python)
    • Dataflows Gen2
  • Develop and optimize ETL/ELT processes for large-scale datasets.
  • Implement reusable modules for data ingestion, cleansing, quality checks, and transformations.

Fabric Platform Expertise

  • Work with core Microsoft Fabric components including:
    • OneLake & Lakehouse architecture
    • Fabric Warehouse & SQL Endpoints
    • KQL for Real-Time Analytics
    • Power BI semantic models & reporting layers
  • Develop efficient data models, star schemas, and analytics-ready structures.
  • Configure Fabric workspaces, permissions, and governance according to best practices.

Solution Development & Collaboration

  • Translate business requirements into technical specifications with BAs and PMs.
  • Collaborate with architects, Power BI developers, and QA teams for seamless delivery.
  • Participate in sprint planning, backlog refinement, and daily stand-ups (Agile environment).
  • Support deployments, troubleshooting, and performance tuning of Fabric workloads.

Quality, Testing & Documentation

  • Prepare technical documentation including data dictionaries, pipeline flows, and solution designs.
  • Ensure data accuracy and integrity across Fabric components.
  • Support QA teams with test data, validation queries, and scenario clarification.
  • Conduct root-cause analysis for data issues and implement fixes.

Roles and Responsibilities

Ideal Candidate Profile

  • 57 years of experience in data engineering or BI engineering.
  • Hands-on experience with Microsoft Fabric or strong Azure data stack experience.
  • Strong proficiency in:
    • SQL
    • Python / PySpark
    • Data modeling concepts (schema design, star/snowflake models)
  • Experience with Power BI (semantic modeling, DAX is a plus).
  • Strong understanding of cloud data warehousing and lakehouse architectures.
  • Ability to work in Agile/Scrum delivery environments.
  • Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

  • Experience with Azure services (ADF, ADLS, Databricks, Synapse).
  • Exposure to CI/CD via Azure DevOps or GitHub.
  • Familiarity with data governance, cataloging, and security best practices.
  • Experience in BFSI, Retail, or other domain-specific data projects.
  • Microsoft Certification in Fabric or Azure Data Engineering (preferred).

Why Join Exponentia.ai?

  • Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
  • Shape the Practice: Build a marquee capability from the ground up with full ownership
  • Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
  • Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
  • Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
  • Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us?

Apply now and become a part of a next-gen tech company thats setting benchmarks in enterprise AI solutions.

Job Classification

Industry: Emerging Technologies
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Exponentia.ai
Location(s): Pune

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Keyskills:   continuous integration stack data analytical bi ci/cd pyspark data warehousing datafactory data pipeline sql cloud data modeling debugging dax architecture cd python azure data lake microsoft azure power bi azure fundamental engineering data engineering data bricks fabric

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