Hexaware Technologies is a global IT and business process outsourcing firm known for its expertise in cloud, automation, and data engineering. With a strong presence across multiple countries, Hexaware delivers innovative digital transformation solutions to leading enterprises.
Job Details
| Category | Details |
|---|---|
| Roles | Senior Data Engineer (G6) / Data Engineer (G5) |
| Department | Engineering – Software & QA |
| Experience | 6 – 12 Years |
| Qualification | Any Graduate / Postgraduate |
| Job Location | Bengaluru (Also Chennai, Pune, Hyderabad, Mumbai) |
| Employment Type | Full Time, Permanent |
| Industry | IT Services & Consulting |
| Openings | 1 |
| Salary | Not Disclosed |
Walk-in Interview Details
| Details | Information |
|---|---|
| Date | 25th April 2026 |
| Time | 9:30 AM – 5:30 PM |
| Mode | Face-to-Face |
| Venue | Hexaware Technologies, 11th Floor, CR2, Prestige Shanthiniketan, Whitefield Road, Bengaluru |
| Contact | Vimala P – 9994742388 |
Job Summary
- Work on Azure-based data engineering solutions
- Develop and manage data pipelines using ADF & Databricks
- Handle large-scale data processing using PySpark
- Collaborate with cross-functional teams for data solutions
Key Responsibilities
Data Engineering
- Build and manage ETL pipelines using Azure Data Factory (ADF)
- Work with Azure Databricks (ADB) for big data processing
- Develop scalable data workflows
Development & Integration
- Use PySpark and Python for data transformation
- Integrate multiple data sources and systems
- Optimize performance of data pipelines
Skills Required
For Senior Data Engineer (G6):
- ADF Dataflows
- Azure Databricks (ADB)
- PySpark
For Data Engineer (G5):
- Azure Databricks (ADB)
- PySpark & Python
- Alteryx
Eligibility Criteria
- 6–12 years of relevant experience
- Strong hands-on experience in Azure data tools
- Willingness to attend face-to-face interview
How to Apply
- Walk in directly to the venue
- Or share resume to: vimalap3@hexaware.com
Important Notes
- Face-to-face interview mandatory
- Multiple work locations available
- Limited openings (high competition)
Why Join?
- Work on advanced cloud & data engineering projects
- Exposure to Azure ecosystem
- Opportunity to grow in Big Data domain
