Senior Software Engineer

Major Responsibilities:

Data Engineering & Data Platform
• Design, develop, and optimize scalable data processing pipelines and architectures within Azure Data Lake and Databricks, ensuring performance, scalability, and maintainability.
• Implement and manage complex ETL/ELT data pipelines integrating data from multiple enterprise sources such as databases, APIs, and external systems.
• Use Azure Data Factory for workflow orchestration, scheduling, and monitoring of enterprise data pipelines.
• Implement data quality validation frameworks to ensure accuracy, completeness, and consistency across the data platform.
• Optimize data storage, transformation, and query performance within Azure environments including Databricks, Azure SQL, and Synapse.
Power BI Development & Analytics
• Design, develop, and maintain enterprise Power BI solutions, including semantic models, datasets, dashboards, and analytical reports.
• Build interactive and visually compelling dashboards that translate complex data into meaningful insights for business stakeholders.

Develop Power BI data models, including star schemas, DAX measures, calculated columns, and optimized datasets.
• Implement Power BI data governance and security, including Row-Level Security (RLS) and workspace management.
• Optimize Power BI performance through dataset optimization, query tuning, aggregation strategies, and incremental refresh.
• Enable self-service analytics capabilities for business users by building reusable datasets and standardized data models.

Education and Experience Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in Data Engineering, Business Intelligence, or Analytics platforms.

Required Knowledge and Skills:

Strong hands-on expertise with Azure Data Lake, Azure Data Factory, Databricks, and Power BI development and analytics.
• Extensive experience building Power BI data models, dashboards, and enterprise BI solutions.
• Strong proficiency in SQL, query optimization, and performance tuning.
• Experience designing data models for analytics such as star schema and dimensional modeling.
• Hands-on experience with Azure services including Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
• Experience integrating data engineering pipelines with Power BI analytics platforms.
• Experience supporting or developing reports in SAP Business Objects.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.
• Master’s degree in a related field.
• Experience with Power BI Premium, Microsoft Fabric, or large-scale enterprise BI deployments.
• Knowledge of data governance frameworks and data cataloging.
• Experience with DevOps and CI/CD pipelines for data and analytics platforms.
• Familiarity with modern data architecture patterns such as Data Lakehouse or Data Mesh