Data Engineer – Power BI
Experience: 5–6 Years
Employment Type: Contractual
Work Mode: Hybrid (2 Days/Week at Client Location)
Working Hours: 11:00 AM – 9:00 PM
Role Overview:
We are looking for a skilled Data Engineer with strong Power BI expertise to design, build, and optimize data pipelines and reporting solutions. The ideal candidate should have hands-on experience with Azure data services, data modeling, modern data warehousing practices, and business intelligence solutions.
Key Responsibilities:
- Design and develop scalable data pipelines and ETL workflows
- Implement data warehousing solutions with dimensional modeling
- Build and maintain interactive dashboards and reports using Power BI
- Work with Azure Data Factory, Databricks, and Data Lake for data processing
- Integrate diverse data sources including Snowflake, Azure SQL, Kafka, and MongoDB
- Optimize data architectures for performance, scalability, and reliability
- Collaborate with stakeholders to translate business requirements into data solutions
- Implement CI/CD pipelines using GitHub Actions
- Ensure data quality, governance, and security best practices
Required Skills:
- Strong experience in Data Engineering and Data Modeling
- Expertise in Snowflake and modern data warehouse concepts
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics
- Azure SQL Database
- Proficiency in Python, PySpark, and SQL
- Strong Power BI experience (Dashboards, Reports, DAX)
- Exposure to Kafka and MongoDB
- Experience with GitHub Actions and CI/CD
- Understanding of data architecture and design patterns
Good to Have:
- Experience with PowerApps
- Experience working with real-time data streaming environments
- Strong stakeholder communication skills
Pay: ₹80,000.00 - ₹100,000.00 per month
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
