Role - Power BI Developer with Cloud Data Engineering Experience
Experience: 6–10 Years
MANDATORY SKILLS
- Power BI & Analytics Delivery
- Databricks & Cloud Data Engineering
- AWS
Core Technical Skills
- Power BI Desktop & Power BI Service
- DAX
- Power Query
- Semantic Modelling
- Dimensional Modelling
- SQL / PL/SQL
- Databricks
- Spark SQL
- Delta Lake
- AWS S3
- Unity Catalog
- Medallion Architecture
JOB OVERVIEW
We are looking for an experienced Power BI Developer with Cloud Data Engineering Experience to design, develop, and support enterprise Power BI analytics solutions using Databricks and AWS-based data platforms.
The role is primarily focused on Power BI and analytics delivery, while also contributing to Databricks-based data engineering activities such as data transformation, analytical data modelling, reporting dataset optimization, and modernization of legacy data logic.
The candidate will work closely with business stakeholders, product owners, data architects, analytics engineers, governance teams, and technical teams to deliver intuitive dashboards, semantic models, governed reporting assets, and actionable insights.
The role covers the end-to-end analytics lifecycle, including requirements gathering, data modelling, Power BI development, deployment, performance optimization, governance, documentation, production support, and continuous improvement.
KEY RESPONSIBILITIES
- Design, develop, test, and deploy enterprise Power BI dashboards, reports, scorecards, semantic models, and reusable analytical solutions.
- Connect and integrate Power BI with Databricks SQL Warehouses, Delta Lake tables, governed views, and composite models.
- Partner with business stakeholders and product owners to translate KPIs, reporting requirements, and analytical questions into technical designs and delivery plans.
- Build scalable semantic models using star schemas, conformed dimensions, reusable measures, and clearly defined business logic.
- Develop advanced DAX measures, calculation groups, time-intelligence logic, and Power Query transformations.
- Evaluate and optimize star, snowflake, and flattened data structures for performance, usability, and scalability.
- Design intuitive report experiences using drill-through, bookmarks, tooltips, conditional formatting, mobile layouts, accessibility features, and user-friendly navigation.
- Optimize Power BI reports and semantic models using Power BI Performance Analyzer, DAX Studio, VertiPaq Analyzer, aggregations, query diagnostics, and incremental refresh.
- Implement row-level security, object-level security, workspace security, application distribution, and governance controls.
- Publish and manage Power BI workspaces, semantic models, reports, apps, refresh schedules, gateways, and deployment pipelines.
- Develop paginated reports using Power BI Report Builder where required.
- Perform data validation, reconciliation, regression testing, UAT support, troubleshooting, and production support.
- Support user enablement and continuous improvement of enterprise reporting solutions.
- Document report specifications, semantic model designs, KPI definitions, measure catalogs, data dictionaries, support guides, and reusable reporting standards.
Databricks & Cloud Data Engineering
- Analyze existing data warehouse implementations and support migration, modernization, and consolidation initiatives.
- Reverse-engineer legacy PL/SQL and SQL logic and translate business rules into scalable Spark SQL solutions within Databricks.
- Design and develop analytical data solutions using AWS S3, Databricks, and Delta Lake.
- Build and maintain ETL and ELT pipelines, ingestion frameworks, and transformation processes supporting reporting and analytics requirements.
- Collaborate with data architects to implement enterprise ingestion, transformation, and governance frameworks.
- Work with data engineering teams to define gold-layer datasets and ensure data quality, lineage, and business-rule consistency.
- Support Unity Catalog, Medallion Architecture, Delta Lake table design, governed views, and cloud data warehouse design patterns.
- Tune Spark SQL, Databricks notebooks, SQL Warehouses, pipelines, and table structures for performance, scalability, and reliability.
- Support CI/CD, Git, version control, release automation, DevOps practices, job scheduling, backup coordination, and production support.
Collaboration, Delivery & Governance
- Participate in Agile ceremonies, roadmap planning, architecture reviews, sprint activities, production readiness reviews, and continuous improvement initiatives.
- Work closely with business stakeholders, product owners, data architects, analytics engineers, governance teams, and support teams.
- Mentor developers through design reviews, code reviews, reusable engineering standards, Power BI best practices, and documentation standards.
- Promote consistency across reporting solutions by aligning semantic models, measures, data definitions, security, and release practices.
- Support governance, testing, documentation, and production readiness of enterprise analytics solutions.
REQUIRED SKILLS & EXPERIENCE
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Analytics, Information Technology, or a related field.
- 6–10 years of relevant experience across business intelligence, analytics delivery, and data engineering.
- 5+ years of hands-on Power BI development experience, including dashboards, reports, semantic models, DAX, Power Query, Power BI Service, and enterprise deployment practices.
- 3+ years of Databricks, Spark SQL, and Delta Lake experience supporting enterprise analytics and reporting solutions.
- Strong experience integrating Power BI with Databricks SQL Warehouses, Delta Lake tables, governed views, and cloud-based data platforms.
- Expert knowledge of Power BI Desktop, Power BI Service, Power BI Report Builder, DAX, Power Query, semantic modelling, dimensional modelling, and BI performance optimization.
- Strong SQL and PL/SQL skills, including experience refactoring or migrating legacy warehouse logic into modern cloud analytics platforms.
- Proficiency in Python, Scala, or Java, with practical experience supporting data transformation and automation.
- Strong experience with AWS S3, Databricks, Unity Catalog, Medallion Architecture, ETL/ELT, metadata management, and data warehouse design.
- Experience with Import mode, DirectQuery, composite models, query folding, incremental refresh, aggregations, and Power BI performance tuning.
- Experience with Git, CI/CD, REST APIs, deployment pipelines, Agile methodologies, governance, testing, and production support.
- Strong stakeholder communication, requirements analysis, leadership, mentoring, and cross-functional collaboration skills.
PREFERRED / NICE-TO-HAVE SKILLS
- Microsoft PL-300 certification is strongly preferred.
- Databricks certification is preferred or considered a strong plus.
- Experience designing enterprise-scale analytics solutions using Power BI and Databricks.
- Experience supporting migration from legacy data warehouse platforms to modern cloud data platforms.
- Experience working across business intelligence, analytics engineering, and cloud data engineering functions.
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
