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Microsoft Fabric Data Engineer

Ecolab ecolab.com Open
Bangalore Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Ecolab. Bangalore · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBangalore
EmploymentFull-time
PostedSep 24, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build Lakehouse pipelines and notebooks that move data through governed, reusable layers
  • Develop AI and Data Agents, ontology-led tools and RAG experiences for business use
  • Set up semantic models, defining their relationships and DAX calculations for analytics and AI
  • Write production transformations and checks with Python, PySpark and SQL, including orchestration
  • Bring data and AI features into applications and APIs, partnering with teams through production rollout

What you bring

  • Three to five years working in data engineering, analytics engineering or AI solution development
  • A computer science, data engineering or AI degree, or equivalent relevant experience
  • The Microsoft Fabric Analytics Engineer Associate certification, DP-600
  • Strong Fabric experience plus Python, PySpark, advanced SQL, semantic modeling and DAX
  • Knowledge of Agentic AI, RAG, embeddings, vector search and LLM integration

Who this fits

This role suits an engineer who can span Fabric data products, semantic modeling and AI solution development. You’ll work with architects, platform engineers, product owners and business stakeholders from early discovery to production delivery. The role is based in Bangalore, India.

From the employer

Role overview

Join the Fabric Center of Excellence to design and deliver modern data and AI solutions on Microsoft Fabric. The role combines data engineering, semantic modeling and Agentic AI to build scalable data products, AI Agents, Data Agents, ontologies and business-facing applications.

Key responsibilities

  • Design and develop scalable data engineering solutions using Microsoft Fabric Lakehouse, Data Factory, pipelines and notebooks.
  • Build ingestion, transformation and medallion-layer patterns for reliable, reusable and governed data products.
  • Design and develop AI Agents, Data Agents, ontology-driven solutions and Retrieval-Augmented Generation (RAG) experiences.
  • Create high-quality semantic models, relationships, calculations and DAX measures for analytics and AI consumption.
  • Use Python, PySpark and SQL to develop production-grade transformations, orchestration and validation logic.
  • Apply Semantic Link Labs and Fabric Notebooks to automate semantic-model engineering, testing, documentation and operational tasks.
  • Integrate data and AI capabilities into web applications, APIs and business workflows.
  • Collaborate with architects, platform engineers, product owners and business stakeholders from discovery through production deployment.
  • Contribute to engineering standards, reusable accelerators, technical documentation and knowledge sharing across the CoE.

Required technical capabilities

  • Strong Microsoft Fabric data engineering experience across Lakehouse, pipelines, notebooks and OneLake.
  • Python, PySpark and advanced SQL for data processing and transformation.
  • Semantic modeling, DAX, dimensional modeling and performance optimization.
  • Knowledge of Agentic AI frameworks, RAG patterns, embeddings, vector search and LLM integration.
  • Hands-on understanding of AI Agents, Data Agents, ontology concepts and AI-ready semantic models.
  • Working knowledge of Snowflake and Databricks.
  • Git, CI/CD, REST APIs, security fundamentals and production deployment practices.

POSITION 02 | CONTINUED

Qualifications and certifications

  • Bachelor’s degree in computer science, data engineering, artificial intelligence or a related discipline, or equivalent relevant experience.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is mandatory.
  • Related certifications such as DP-203, AI-102 or PL-300 are preferred.
  • 3-5 years of relevant experience in data engineering, analytics engineering or AI solution development.

Preferred experience

  • Developing AI-enabled web applications, APIs or conversational analytics experiences.
  • Azure AI services, Azure OpenAI or comparable enterprise LLM platforms.
  • Production implementation of RAG or Agentic AI solutions with evaluation, observability and responsible AI controls.
  • Databricks, Snowflake, Delta Lake and modern cloud data-platform integration.
  • Direct Lake, real-time analytics, deployment pipelines and DevOps automation.

Behavioral competencies

  • Strong engineering discipline and an experimentation mindset.
  • Ability to translate business problems into scalable data and AI solutions.
  • Clear communication, collaborative delivery and practical documentation.
  • Commitment to security, governance, responsible AI and measurable business outcomes.

Success in this role

  • Reusable and production-ready Fabric data products.
  • Trusted semantic and ontology layers that improve analytics and AI quality.
  • Secure, useful AI Agents and Data Agents aligned with business requirements.
  • Faster delivery through automation, standards and shared engineering patterns.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.