EY Walk-In Interview 2026: Azure Data Engineer – 1 Vacancy | 3–6 Years Experience | Bengaluru & Pune
EY (Ernst & Young) is inviting applications from experienced technology professionals for the position of Azure Data Engineer in its Data & Analytics team. The company is looking for candidates with 3–6 years of experience and strong technical knowledge of Azure Databricks, PySpark, Spark SQL, Azure Data Factory, ADLS Gen2, SQL, Python, Delta Lake, and Unity Catalog. The recruitment listing mentions 1 vacancy, with job locations including Bengaluru, Pune, and Gurgaon. A face-to-face interview drive is scheduled for 30 October 2026 at the EY office in Whitefield, Bengaluru. Interested candidates can share their updated resume with the recruiter for interview confirmation.
EY Azure Data Engineer Recruitment 2026 – Job Overview
| Job Details | Information |
|---|---|
| Company Name | EY (Ernst & Young) |
| Job Title | Azure Data Engineer |
| Number of Vacancies | 1 |
| Experience Required | 3–6 years |
| Department | Consulting – Data & Analytics |
| Job Locations | Bengaluru, Pune, Gurgaon |
| Work Mode | Hybrid, as listed in the job overview |
| Interview Type | Face-to-Face Interview |
| Interview Date | 30 October 2026 |
| Interview Time | 9:30 AM–5:30 PM |
| Interview Venue | EY Office, Whitefield, Bengaluru |
| Salary | Not Disclosed |
| Employment Type | Full-Time, Permanent |
| Recruiter Contact | Bhavana |
| Resume Submission Email | Bhavanashree.B@in.ey.com |
About EY (Ernst & Young)
EY is a global professional services organization providing consulting, assurance, tax, and strategy-related services. Its technology consulting teams help organizations with digital transformation, cloud adoption, data engineering, analytics, and technology modernization.
The Azure Data Engineer role is part of the Data & Analytics team and focuses on developing and supporting data engineering solutions using Microsoft Azure technologies, Databricks, Spark, and related data platforms.
Job Description: Azure Data Engineer
EY is looking for Azure Data Engineers with strong Databricks experience to join its Data & Analytics team. Candidates should have practical experience in building, maintaining, and optimizing data pipelines, working with cloud data platforms, and processing structured and large-scale datasets.
The role requires technical knowledge of Azure data services, data transformation, programming, SQL, and modern data lake technologies.
Key Technical Skills Required
| Skill / Technology | Expected Knowledge |
|---|---|
| Azure Databricks | Experience working with Databricks environments and data engineering workloads |
| PySpark | Data processing, transformations, and distributed computing |
| Spark SQL | Querying and transforming large datasets |
| Azure Data Factory (ADF) | Data pipeline creation and orchestration |
| ADLS Gen2 | Azure Data Lake Storage and data organization |
| SQL | Query development, data extraction, and transformation |
| Python | Scripting, data processing, and automation |
| Delta Lake | Reliable data storage and lakehouse operations |
| Unity Catalog | Data governance, access management, and catalog organization |
Key Responsibilities of an Azure Data Engineer
The supplied job description does not list detailed duties. The following are typical responsibilities associated with Azure Data Engineer positions and should be confirmed against the exact role requirements.
- Design, develop, and maintain data pipelines using Azure Data Factory and Azure Databricks.
- Process and transform large datasets using PySpark and Spark SQL.
- Work with Azure Data Lake Storage Gen2 for data storage and management.
- Develop SQL queries and Python scripts for data processing and automation.
- Implement data transformation workflows using Delta Lake.
- Support data governance and access management through Unity Catalog.
- Troubleshoot data pipeline issues and improve performance.
- Maintain data quality, consistency, and reliability.
- Collaborate with analytics, cloud, and consulting teams on data engineering projects.
Eligibility Criteria for EY Azure Data Engineer Jobs
| Criteria | Details |
|---|---|
| Educational Qualification | Relevant graduate or postgraduate qualification, depending on candidate profile |
| Preferred Background | Computer Science, Information Technology, Engineering, or a related discipline |
| Experience | 3–6 years |
| Core Technology | Azure Databricks |
| Programming Skills | Python, PySpark, SQL, Spark SQL |
| Cloud Data Services | Azure Data Factory, ADLS Gen2 |
| Data Platform Knowledge | Delta Lake, Unity Catalog |
| Employment Type | Full-Time, Permanent |
| Work Arrangement | Hybrid, according to the listing |
The job listing accepts a range of educational backgrounds, including BCA, B.E./B.Tech, MCA, M.Sc., M.Tech, PG Diploma, and other graduate or postgraduate qualifications. The exact mandatory qualification requirements should be confirmed with the recruiter.
Salary and Benefits
| Salary / Benefit | Details |
|---|---|
| Salary / CTC | Not Disclosed |
| Employment Type | Full-Time, Permanent |
| Work Mode | Hybrid, as listed |
| Other Benefits | Not specified in the provided listing |
The salary package, benefits, working hours, and hybrid work arrangements have not been disclosed in the supplied job details. Candidates can discuss these points during the recruitment process.
EY Walk-In Interview Date, Time and Venue
| Interview Details | Information |
|---|---|
| Interview Date | Friday, 30 October 2026 |
| Interview Time | 9:30 AM–5:30 PM |
| Interview Type | Face-to-Face |
| Interview Venue | EY Office, Whitefield |
| City | Bengaluru, Karnataka |
| Recruiter | Bhavana |
| Resume Email | Bhavanashree.B@in.ey.com |
Important: The job listing states that candidates will be contacted regarding interview timings and confirmation by email. Candidates should send their resumes and wait for confirmation before visiting the office.
Although Bengaluru is the specified interview location, the job overview also lists Pune and Gurgaon as possible work locations. Candidates should confirm the final work location with the recruiter.
How to Apply for EY Azure Data Engineer Recruitment 2026
Interested candidates can apply by sharing their updated resume with the recruiter.
Application steps:
- Update your resume with your Azure Data Engineering experience.
- Highlight hands-on skills in Azure Databricks, PySpark, Spark SQL, ADF, ADLS Gen2, SQL, Python, Delta Lake, and Unity Catalog.
- Include details of relevant data engineering projects, cloud platforms, and pipeline development experience.
- Email your resume to Bhavanashree.B@in.ey.com.
- Mention Azure Data Engineer – Walk-In Interview in the email subject line.
- Wait for the recruiter to contact you with the interview confirmation and reporting details.
- Attend the face-to-face interview at the EY Whitefield office only after receiving confirmation.
