Azure Data Engineer | Databricks | Azure Data Factory | PySpark
📍 Bangalore, India (Hybrid)
☁️ Microsoft Azure Data Platform
📅 Contract until December 2026 (Extension Possible)
Build Modern Cloud Data Platforms
We are looking for experienced Azure Data Engineers to design, develop, and optimize scalable cloud-based data platforms supporting enterprise analytics and business-critical applications. Working within a collaborative engineering team, you'll help build modern Azure data solutions using Databricks, Azure Data Factory, Azure Synapse, and PySpark while contributing to high-quality engineering standards and cloud data best practices. Depending on your experience, you'll also have opportunities to mentor engineers, perform code reviews, and contribute to technical leadership.
Responsibilities
- Design and develop scalable Azure data pipelines.
- Build data ingestion, transformation, and orchestration processes.
- Develop cloud-native ELT solutions.
- Manage large-scale datasets across Azure services.
- Improve platform performance and data quality.
- Develop solutions using Azure Databricks.
- Build pipelines using Azure Data Factory.
- Work with Azure Synapse Analytics.
- Manage Azure Data Lake Storage Gen2.
- Support enterprise data warehousing initiatives.
- Develop solutions using SQL, Python, and PySpark.
- Optimize data transformations and processing performance.
- Build reusable engineering components.
- Improve code quality and maintainability.
- Participate in code reviews.
- Contribute to CI/CD pipelines.
- Support data governance and security.
- Work closely with architects, analysts, developers, and business stakeholders.
- Share technical knowledge and engineering best practices.
Requirements
- Strong hands-on Azure Data Engineering experience
- Experience with Azure Data Factory
- Experience with Azure Databricks
- Strong SQL skills
- Strong Python programming skills
- Experience with PySpark
- Experience working with cloud-based data platforms
- Strong problem-solving and analytical skills
- Professional English communication skills
Nice to have
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Server
- Databricks Unity Catalog
- Data Warehousing
- Data Modelling
- Azure DevOps or GitHub Actions
- CI/CD
- Technical leadership or mentoring experience
Benefits
- Modern Azure cloud technologies
- Collaborative engineering culture
- Opportunity to work on enterprise-scale cloud platforms
- Exposure to modern data engineering best practices
- Hybrid working model in Bangalore
- Long-term contract with extension potential
Additional details
- 📍 Bangalore, India (Hybrid)
- ☁️ Microsoft Azure Data Platform
- 📅 Contract until December 2026 (Extension Possible)
- Ready to Build Enterprise Data Platforms?
- If you're passionate about Azure Data Engineering, cloud technologies, and building scalable data platforms, we'd love to hear from you.
- Apply today and help shape the future of enterprise data engineering.