BI Analytics Developer with (Databricks + Power BI + AI/BI)
PamTen
Summary: We are looking for a BI Analytics Developer to build business-ready semantic models and dashboards using Databricks and Power BI . The role focuses on shaping Gold-layer analytics datasets , defining metrics and KPIs , and enabling insights through Power BI and Databricks AI/BI (Genie) . This is not a data engineering role , but strong Databricks SQL and Lakehouse knowledge is required.
Duties:
Databricks (Lakehouse / Gold Layer)
Duties:
Databricks (Lakehouse / Gold Layer)
- Build analytics-ready datasets and semantic models using Databricks SQL
- Create business views, measures, dimensions, and KPIs
- Use Unity Catalog for discovery, lineage, metadata, and governance
- Apply semantic metadata for AI/BI (Genie) consumption
- Develop optimized dashboards and datasets using Databricks SQL Warehouses
- Select the right connectivity mode (DirectQuery / DirectLake / Import)
- Apply best practices for data modeling, DAX, and performance tuning
- Reuse Databricks-defined metrics wherever possible
- Translate business needs into dimensional models (facts, dimensions, KPIs)
- Define and validate business rules and calculations
- Ensure data quality and metric consistency
- Partner with data engineering to refine Silver/Gold layers
- Work with business stakeholders to finalize KPIs and reporting needs
- Coordinate with governance teams on metadata and data definitions
- Strong SQL and experience building analytic views/models
- Hands-on Databricks SQL, Delta tables, Unity Catalog
- Solid understanding of dimensional modeling & semantic layers
- Power BI expertise (DAX, modeling, performance, Databricks integration)
- Ability to deliver curated, business-ready datasets for BI and AI/BI
- Python for analysis in notebooks
- Experience with Databricks AI/BI (Genie) or semantic metrics
- Knowledge of data governance, metadata, lineage, data quality
- Healthcare or financial domain KPI exposure
- Strong communication and stakeholder management skills
- AWS + Databricks + Power BI Service experience
- BI data modeling best practices
- Familiarity with data governance and cataloging tools
- Power BI semantic models & dashboards
- Databricks Gold-layer data products
- KPI and metrics documentation
- Metadata tagging and governance inputs
Vacancy posted 2 days ago
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