Senior Power BI/Fabric Insights Engineer, IT at Edwards… · Pune

Senior Power BI/Fabric Insights Engineer, IT
Location: India-Pune
Edwards Lifesciences is expanding its global technology capabilities with the launch of a new IT Innovation Hub in Pune, India. The Hub strengthens the technology foundation that supports our business worldwide, working in close partnership with teams across regions to deliver reliable, high-quality solutions at scale.
Designed as a long-term investment, the Pune Hub will advance newer digital capabilities such as automation, data, AI, and cloud, and will include roles spanning end user services, application development, and enterprise platform teams.
We are seeking a Senior Power BI / Fabric Insights Engineer to join our Insights Engineering team within the Enterprise Data, Analytics & AI Integration (EDAIx) organization. This is a senior, hands-on delivery role that pairs deep Power BI and Microsoft Fabric expertise with strong data-engineering fundamentals across our modernlakehouseestate (Snowflake, Databricks, and Azure data services). You will design and optimize enterprise semantic models and reports, engineer the curated data that feeds them, and help shape the next generation of insights delivery – moving our users from static dashboards toward conversational, agent-assisted analytics where they can ask questions of their data in natural language and trust the answers.
The successful candidate works independently with high-level direction, applies sound judgment to complex problems, and provides technical guidance to other engineers while ensuring deliverables align with our architecture, quality, security, and governance standards.

How will you make an impact:
Power BI & Semantic Modeling
Architect and maintain complex Power BI semantic models, datasets, and enterprise-grade reporting solutions that are performant, reusable, and aligned to business KPIs.
Build advanced DAX measures and reusable calculationpatterns, andapply proven data-modeling methodologies (star schema, snowflake, Kimball, Inmon).
Implement row-level and object-level security (RLS/OLS) and workspace governance to ensure secure, scalable, and well-managed access.
Develop, enhance, and optimize reports and dashboards for usability, visual clarity, accessibility, and performance, partnering with stakeholders to refine requirements and user-centric design.
Data Engineering & Microsoft Fabric
Engineer curated, analytics-ready datasets by building and maintaining SQL-based ELT/ETL pipelines and transformation logic across Snowflake, Microsoft Fabric (Lakehouse/Delta, Warehouse, Dataflows Gen2, Data Factory, Spark/Notebooks), and Azure Data Factory.
Write Python /PySparkand SQL for transformation, orchestration, automation, and data-quality enforcement, ensuring reconciliation, auditability, and compliance for enterprise and regulatory reporting.
Partner closely with the Data Engineering and Data Operations teams to shift data preparation upstream into thelakehouse, reducing report-level complexity and improving trust and reuse.
Create and maintain test scripts and automated validation routines for pipelines, datasets, and BI logic.
Next-Generation Insights & Data Agents
Help evolve Insights Engineering from static reporting toward conversational analytics – enabling users to interact with governed data in natural language through Copilot, Q&A, and emerging data-agent experiences.
Prepare and curate the semantic layer, metadata, and business definitions that make data agents accurate and trustworthy, including well-described models, synonyms, and certified datasets.
Prototype and operationalize AI-assisted capabilities within Power BI / Fabric (e.g., Copilot workflows, AI visuals, ML-assisted data quality) where they deliver real, measurable value.
Contribute to standards and guardrails that keep AI- and agent-generated insights explainable, governed, and aligned with enterprise data policy.
Technical Leadership & Delivery
Engineer solutions using application development tools –build software, ETL, and analytics code that is reliable, maintainable, and aligned to standards.
Lead feasibility and requirements analysis –evaluate problem definitions, requirements, and proposed solutions to determine the best course of action.
Determine and lead the design of system specifications, standards, and programming –for BI, semantic, and data-engineering deliverables.
Document and demonstrate solutions –through documentation, flowcharts, layouts, diagrams, code comments, and clear code on complex issues.
Improve operations –by conducting systems analysis and recommending changes and alternative solutions in policies and procedures.
Mentor and guide –lead project teams through best practices in development, mentor other engineers, and ensure deliverables are consistent with architecture, quality, and security policies.
Keep abreast of innovation –by studying state-of-the-art development tools, techniques, and platforms, and participating in professional and educational opportunities
What you'll need (Required):
Bachelor’s Degree or equivalent in a related field.
5+ years building enterprise Power BI solutions, with expert proficiency in DAX, Power Query (M), SQL, and dimensional/semantic modeling.
Strong data-engineering foundation: hands-on SQL-based ELT/ETL development and data warehousing on Snowflake, plus Azure Data Factory (ADF) and/or SSIS.
Hands-on experience with Microsoft Fabric (Lakehouse/Delta, Warehouse, Dataflows Gen2, Data Factory, Spark/Notebooks) or demonstrated ability to ramp quickly from an equivalent modern data stack.
Python /PySparkscripting for ETL/ELT, automation, and validation.
Demonstrated performance tuning across Power BI and data workloads (DAX optimization, query folding/M, aggregations, hybrid tables, storage modes,DirectQuery/Import/DirectLake).
Working knowledge of Azure data services, BI governance, and Git/DevOps workflows for BI deployments.
What else we look for:
Practical exposure to AI in analytics – Copilot for Power BI/Fabric, natural-language Q&A, semantic-model preparation for data agents, or ML-assisted data quality.
Experience with Direct Lake, large semantic-model patterns, and integrating Power BI with Azure SQL, Synapse, Dataverse, and REST/Graph APIs.
Exposure to Databricks and multi-enginelakehouseenvironments.
Certifications: PL-300 (Microsoft Power BI Data Analyst) and DP-600 (Microsoft Fabric Analytics Engineer); DP-700 (Fabric Data Engineer Associate) a plus

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