Staff Data Engineer

Jobtailor

Bengaluru

On-site

INR 2,500,000 - 4,000,000

Full time

3 days ago

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Job summary

Jobtailor in Bengaluru, India is seeking a senior analytics engineer to design, develop, and optimize enterprise BI solutions using Power BI and Microsoft Fabric.

You will build semantic models, implement AI-enabled analytics, govern data, and mentor analysts and citizen developers while shaping platform roadmaps and deployment pipelines.

Qualifications

5+ years of analytics, BI or data engineering experience.
3+ years hands-on Power BI development.
Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows).
Proficient in DAX, SQL, and data modeling.
Hands-on Python for ML/GenAI in production.
Knowledge of RAG concepts and vector search.
Experience with monitoring and deployments of data/ML/GenAI systems.
Familiarity with CI/CD for Power BI and Looker.

Responsibilities

Design, develop, and optimize analytics platforms on Power BI and Fabric.
Build semantic models using dimensional modeling and star schema.
Implement deployment pipelines for Power BI and Looker across environments.
Establish governance standards for data analytics platforms.
Mentor analysts and citizen developers, providing guidance.

Skills

Power BI Development

DAX

SQL

Python for ML Solutions

Data Governance

Microsoft Fabric

RAG concepts

Education

Power Platform Certifications

Tools

Power BI

Looker

Power Automate

Power Apps

Dataverse

Azure SQL

Data Factory

Synapse

GCP BigQuery

Azure OpenAI

Job description

Design, develop, and maintain reports and dashboards
Build and optimize semantic models using dimensional modeling and star schema
Write and tune DAX measures for performance and usability
Implement Power BI and Looker deployment pipelines and promote content across environments
Establish and maintain Microsoft Fabric architecture, including Lakehouse and/or Warehouse, Dataflows Gen2, and OneLake data organization
Manage Fabric capacities, workspaces, and permissions
Monitor performance, cost, and reliability of Fabric workloads
Develop and maintain Python-based data transformations and notebooks within Fabric
Use Python for data preparation, enrichment, validation, and advanced analytics
Define and enforce data modeling and medallion architecture standards
Build and maintain automation flows for business processes, approvals, and integrations
Work with Dataverse, connectors, and security roles
Implement error handling, logging, and operational support patterns
Define Dev/Test/Prod environment strategy for reporting and automation platforms
Implement Application Life best practices, including solutions, pipelines, and source control where applicable
Establish governance standards to prevent platform sprawl
Partner with security and IT teams on access control and compliance
Provide guidance and enablement to analysts and citizen developers
Translate business requirements into scalable technical solutions
Contribute to platform roadmap and continuous improvement efforts
Design and deliver agentic AI solutions automating multi-step business workflows using enterprise data and governed actions
Build RAG patterns over Fabric/OneLake for analytics copilots and self-service Q&A
Develop and operate ML pipelines using Python and approved ML frameworks
Establish LLMOps/ModelOps practices, including version control, evaluation, testing, monitoring, and rollback
Implement AI security and governance, including access controls, leakage prevention, PII handling, model risk reviews, and audit logging
Partner with stakeholders to identify high-value use cases and deliver measurable outcomes

Requirements

5+ years of experience in analytics, BI, or data engineering roles
3+ years of hands‑on Power BI development experience
Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
Proficient in DAX, SQL, and data modeling
Hands‑on experience with Power Automate (cloud flows, approvals, integrations)
Hands‑on experience with Power Apps (Canvas apps)
Hands‑on experience with Dataverse
Hands‑on Python experience delivering ML or GenAI solutions in production (notebooks‑to‑service, APIs, scheduled jobs, or integrated automations)
Working knowledge of RAG concepts (embeddings, vector search, retrieval, grounding, evaluation)
Experience implementing monitoring and testing for data/ML/GenAI systems (data quality checks, model/prompt evaluation, logging/telemetry)
Experience managing environments, security, and deployments
Strong understanding of data governance and analytics best practices
Preferred: Experience designing enterprise‑scale analytics platforms
Preferred: Familiarity with Azure services (Azure SQL, Data Factory, Synapse)
Preferred: Familiarity with GCP BigQuery and Looker
Preferred: Experience with CI/CD concepts for Power BI and Looker
Preferred: Power Platform or Microsoft analytics certifications
Preferred: Experience working in a Center of Excellence (CoE) model
Preferred: Experience with Azure OpenAI / Azure AI Foundry (or equivalent) and enterprise deployment patterns
Preferred: Experience with orchestration frameworks (e.g., Semantic Kernel, LangChain, Autogen) and tool/function calling

Core Competencies

Demonstrates expertise in Power BI development, Microsoft Fabric architecture, and Python‑based data transformations, with a strong focus on data governance and analytics best practices. Capable of translating business requirements into scalable technical solutions while implementing AI security and governance measures.

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