Power BI & Data Engineer(Bank Domine)

Job Description – Power BI \& Data EngineerBanking Domain experience is mandatory,

• *Location:**Bangalore
• *Experience:** 5–7 Years

About the Role

We are looking for a highly skilled **Power BI \& Data Engineer** to design, develop, and maintain enterprise\-scale business intelligence and data engineering solutions. The ideal candidate should possess strong expertise in Power BI development, SQL, ETL/ELT processes, cloud\-based data platforms, and modern data engineering practices.

The role requires building scalable data pipelines, developing insightful dashboards, optimizing reporting performance, and ensuring reliable data availability for business stakeholders across the organization.

Mandatory SkillsBusiness Intelligence \& Reporting

• Power BI Development
• DAX (Data Analysis Expressions)
• Power Query
• Dashboard \& Report Development
• Data Visualization

Data Engineering

• Data Engineering Concepts
• ETL / ELT Pipeline Development
• Data Integration \& Transformation
• Data Cleansing \& Validation

Programming \& Querying

• SQL
• Python
• PySpark

Cloud \& Data Platforms

• Azure Data Factory (ADF)
• AWS Glue
• Azure Cloud Services
• AWS Cloud Services

Data Management

• Data Modeling
• Data Warehousing
• Data Lakes
• Data Governance
• Data Quality Management

Secondary Skills (Good to Have)

• Databricks
• Snowflake
• Microsoft Fabric
• Azure Synapse Analytics
• Banking \& Financial Services Domain
• Streaming Data Pipelines
• AI/ML Reporting Datasets
• Enterprise Analytics Platforms

Key ResponsibilitiesPower BI Development

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create semantic models and reusable reporting datasets.
• Develop advanced DAX measures, calculated columns, and KPIs.
• Deliver visually compelling and business\-friendly reports.
• Optimize dashboard performance and refresh schedules.

Data Engineering \& ETL

• Build and maintain scalable ETL/ELT pipelines.
• Integrate data from multiple enterprise applications, APIs, databases, and cloud platforms.
• Perform data extraction, transformation, validation, and loading activities.
• Ensure reliable and efficient movement of data across systems.

Data Platform Management

• Work with enterprise Data Lakes and Data Warehouses.
• Design and implement scalable data models for analytics and reporting.
• Support cloud\-based data modernization initiatives.
• Ensure high data availability and consistency across reporting environments.

Performance Optimization

• Optimize SQL queries and data processing jobs.
• Improve dashboard refresh times and report performance.
• Monitor and troubleshoot data pipelines and reporting systems.
• Implement best practices for scalability and efficiency.

Data Governance \& Quality

• Establish data quality frameworks and validation checks.
• Maintain data lineage, metadata, and documentation.
• Ensure compliance with organizational data governance standards.
• Support audit and regulatory reporting requirements where applicable.

Stakeholder Collaboration

• Collaborate with business users, analysts, and technical teams.
• Gather reporting and analytics requirements.
• Translate business requirements into technical solutions.
• Provide production support, issue resolution, and enhancements.

Educational QualificationDegree

• B.E. / B.Tech
• MCS
• M.Sc. (Computer Science / Data Science)

Preferred Branches

• Computer Science Engineering
• Data Science \& Engineering
• Information Technology
• Electronics \& Communication Engineering
• Related Technical Disciplines

Technical CompetenciesCategorySkillsBI \& ReportingPower BI, DAX, Power QueryProgrammingSQL, Python, PySparkData EngineeringETL/ELT, Data IntegrationCloud PlatformsAzure, AWSData PlatformsAzure Data Factory, AWS GlueStorageData Lakes, Data WarehousesData ManagementData Modeling, Data Quality, GovernanceSoft Skills

• Strong analytical and problem\-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to work independently and within cross\-functional teams.
• Strong documentation and presentation skills.
• High ownership, accountability, and delivery focus.
• Ability to work in fast\-paced enterprise environments.

Work Experience

• 5–7 years of hands\-on experience in Power BI Development and Data Engineering.
• Proven experience in enterprise reporting and analytics projects.
• Experience handling large\-scale datasets and complex reporting solutions.
• Exposure to cloud\-based data engineering environments.
• Experience working in Agile delivery models.

Preferred Domain Experience

• Banking \& Financial Services
• Insurance
• FinTech
• Enterprise Analytics \& Reporting

Key Result Areas (KRA)

• Delivery of high\-quality Power BI dashboards and reports.
• Development of reliable and scalable data engineering solutions.
• Successful implementation of ETL/ELT pipelines.
• Improved reporting performance and data availability.
• High stakeholder satisfaction and business adoption.

Key Performance Indicators (KPI)

• Dashboard delivery within agreed SLA timelines.
• Data accuracy and reporting quality metrics.
• Reduction in report refresh duration.
• Reduction in SQL query execution time.
• ETL pipeline success rate and operational stability.
• Number of production incidents resolved within SLA.
• Stakeholder satisfaction scores.
• User adoption and report utilization metrics.

Compensation \& Benefits

• Competitive salary package.
• Annual performance\-based incentives.
• Comprehensive health insurance coverage.
• Optional parental insurance benefits.
• Retirement and tax\-saving benefit programs.
• Learning and certification support.
• Career growth opportunities in Data \& Analytics.

Pay: ₹241,633\.17 \- ₹1,353,018\.79 per year

Work Location: In person