Senior Business Intelligence Engineer; Power BI

Senior Business Intelligence Engineer (Power BI)
Location :
Hi Tec City, HYD - hybrid
Job Type: Permanent

Function:  Data & Analytics / Business Intelligence
Engagement type:  Client-facing delivery (consulting / embedded analytics)

About the Role
We're looking for a Senior BI Engineer who can own the full lifecycle of analytics delivery, from data modeling in the warehouse through to polished, secure, production-grade Power BI reporting embedded in client-facing applications. This is a hybrid technical and consultative role. You'll build the reports, engineer the data behind them, and communicate directly with client stakeholders about priorities, trade-offs, and progress.
You'll work on a mature analytics program spanning executive dashboards, member/partner performance reporting, geospatial analytics, embedded portal analytics, and emerging AI-driven conversational analytics. The right person is equally comfortable debugging a row-level security conflict in DAX, tuning a Snowflake view, and explaining a data limitation to a non-technical business owner in plain language.
What You'll Do
Design, build, and maintain Power BI reports and dashboards, from data model through DAX measures to final layout and interactivity.
Implement and troubleshoot  row-level security (RLS) , including dynamic/organization-scoped security and its interaction with export, embedding, and cross-group comparison logic.
Develop robust semantic models using  Power Query / M  and  DAX , with attention to performance, maintainability, and correctness under security filters.
Build and support  embedded analytics  delivered through a partner/portal web application (Power BI Embedded), including effective-identity token handling.
Engineer and optimize the data layer in  Snowflake , writing SQL, building and debugging views, and diagnosing hidden dependencies such as masking policies, row-access policies, and view lineage.
Integrate external and third-party data sources (e.g., public datasets, government/nonprofit APIs, demographic and geospatial data) into the warehouse and reporting layer, including handling API versioning and schema changes over time.
Build geospatial visuals, including map layers and reference geometries, and work through platform constraints such as feature caps, boundary data quality, and geocoding issues.
Contribute to AI-assisted analytics initiatives (e.g., conversational/natural-language analytics over governed datasets).
Own data validation and UAT for new pipelines and reports, verifying correctness across raw, curated, and reporting layers before and after release.
Support data governance practices, including data cataloging and documentation, and identifying and handling sensitive/PII data appropriately.
Translate business requirements into technical specifications, and communicate status, blockers, and recommendations directly to client stakeholders in a clear, professional, conversational tone.
Produce clean documentation and work breakdowns; scope and estimate level of effort for new requests.
Must-Have Qualifications
5+ years  of hands-on BI/analytics engineering experience, with a strong concentration in  Power BI .
Expert-level  DAX  and  Power Query / M , able to write, optimize, and debug complex measures and transformations.
Strong  data modeling  fundamentals (star schema, relationships, cardinality, and their impact on report behavior).
Deep, practical experience with  row-level security  in Power BI and its edge cases around export and embedding.
Advanced  SQL  (required) and solid experience with a cloud data warehouse.  Snowflake strongly preferred  (or Redshift/Big Query/Synapse with willingness to ramp on Snowflake).
Python  (required) for data work, including API integration, data prep/transformation, notebook-based workflows, and automation/scripting.
Solid grasp of  data warehousing and ELT/ETL  concepts and best practices.
Discipline around  data validation, QA, and testing , plus awareness of data governance and sensitive/PII handling.
Experience delivering in a  client-facing or stakeholder-facing  capacity: gathering requirements, managing expectations, and explaining technical concepts to non-technical audiences.
Strong troubleshooting instincts, able to trace a reporting symptom back to a root cause in the data, the model, the security layer, or the source system.
Clear written and verbal communication; comfortable owning updates and coordinating across a delivery team.
Nice-to-Have Qualifications
Power BI Embedded  and Power BI Service administration (work spaces, deployment pipelines, capacity, gateways).

Experience with  Snowflake Cortex  or other LLM/AI-assisted analytics tooling.
Geospatial/mapping experience (Azure Maps, GeoJSON, geocoding, shape files/boundary data).
Familiarity with a modern cloud stack ( AWS  such as Lambda, S3, ECS/Fargate, Event Bridge, Cloud Watch, or Azure equivalents).
Database migration/versioning tooling (e.g.,  Liquibase ), and source control workflows ( Git/Git Hub ).
Experience…