Power BI & Data Engineer

Job Description – Power BI & Data Engineer

Location: Chennai / Hyderabad / Bangalore

Experience: 5–7 Years

Job Summary

We are seeking a skilled Power BI & Data Engineer with strong expertise in data engineering, ETL pipelines, and business intelligence reporting.

The ideal candidate will have hands-on experience in Power BI, SQL, Python/PySpark, cloud-based data platforms, and data integration technologies to build scalable data solutions and interactive dashboards for enterprise analytics and reporting needs.

The role involves designing and optimizing data pipelines, developing Power BI dashboards, and ensuring high-quality data availability for business stakeholders.

Mandatory Skills

• Strong hands-on experience in:
• Power BI
• SQL
• Data Engineering
• ETL / ELT Pipelines
• Experience with:
• Python / PySpark
• Azure Data Factory / AWS Glue
• Data Integration
• Strong knowledge of:
• Data Modeling
• DAX
• Data Warehousing concepts
• Experience working with:
• Cloud platforms (Azure / AWS)
• Large-scale enterprise datasets
• Strong debugging, troubleshooting, and performance optimization skills

Key Responsibilities

Power BI Development

• Design and develop interactive:
• Dashboards
• Reports
• Semantic models
• Build and optimize:
• DAX calculations
• KPIs
• Data visualizations

Data Engineering

• Develop and maintain scalable ETL/ELT pipelines
• Integrate data from multiple enterprise systems and APIs
• Perform data transformation and cleansing activities

Data Platform & Integration

• Work with:
• Data Lakes
• Data Warehouses
• Cloud platforms
• Ensure high-quality and reliable data availability for reporting

Optimization & Governance

• Optimize query performance and dashboard refresh times
• Implement data quality checks and governance standards
• Support monitoring and troubleshooting of pipelines and reports

Collaboration & Support

• Collaborate with business stakeholders and analytics teams
• Gather reporting requirements and convert them into technical solutions
• Provide production support, enhancements, and documentation

Qualification

• Bachelor’s degree in:
• Computer Science
• Information Technology
• Data Engineering
• Related field

Technical Skills

BI & Reporting

• Power BI
• DAX
• Power Query

Programming & Data Engineering

• SQL
• Python / PySpark
• ETL / ELT Pipelines

Cloud & Data Platforms

• Azure Data Factory / AWS Glue
• Azure / AWS Cloud
• Data Lakes & Data Warehouses

Data Management

• Data Modeling
• Data Integration
• Data Quality & Governance

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Ability to work in fast-paced enterprise environments
• Strong ownership and delivery focus

Good to Have

• Experience with:
• Snowflake
• Databricks
• Fabric / Synapse
• Exposure to:
• Streaming data pipelines
• AI/ML reporting datasets
• Banking / Financial domain

Work Experience

• 5–7 years of experience in:
• Power BI Development
• Data Engineering
• Enterprise Reporting & Analytics
• Proven experience handling large-scale enterprise data and dashboards

Compensation & Benefits

• Competitive salary and annual performance-based bonuses
• Comprehensive health and optional Parental insurance
• Optional retirement savings plans and tax savings plans

KRA (Key Result Areas)

• High-quality dashboard and reporting delivery
• Reliable and scalable data engineering solutions
• Optimized ETL pipelines and reporting performance
• Strong stakeholder satisfaction and business adoption

KPI (Key Performance Indicators)

• Dashboard delivery within SLA timelines
• Data accuracy and reporting quality
• Reduction in report refresh and query execution time
• ETL pipeline success rate and operational stability
• Stakeholder satisfaction and usage metrics

📩 Contact: [email protected]