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 : 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 :

- Robust 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)

📌 Data Engineer - Power Bi (Pune)
🏢 Induansh Private
📍 Pune