EY Careers | Senior Data Engineer – Azure Databricks | Kolkata
Job Description
Summary
EY is hiring a Senior Data Engineer – Azure Databricks (AI & Data) for its GDS Consulting team in Kolkata, India. This role is ideal for experienced professionals skilled in Databricks, Python, and ETL pipeline development who want to drive impactful data engineering solutions. At EY, you’ll work on cutting-edge data and analytics projects, collaborate with cross-functional teams, and help global clients harness the power of data-driven decision-making. Join EY’s world-class network and grow your career in one of the most in-demand domains of technology.
Job Details at a Glance
| Job Title | Senior Data Engineer – Azure Databricks |
|---|---|
| Company | EY (Ernst & Young) |
| Location | Kolkata, India |
| Other Locations | Primary Location Only |
| Department | GDS Consulting – AI & Data |
| Shift | Day Shift |
| Experience | 3–5 years in Data Engineering (Databricks & Python) |
| Qualification | Bachelor’s in Computer Science/IT or related field |
| Tools/Tech | Databricks, Python, SQL, NoSQL, Cloud (Azure/AWS) |
| Employment Type | Full-Time |
| Salary | Competitive |
| Requisition ID | 1635490 |
Key Responsibilities
As a Senior Data Engineer – Azure Databricks at EY Kolkata, you will:
- Design, build, and maintain scalable data pipelines using Databricks and Python.
- Develop robust ETL processes to transform raw data into structured formats.
- Collaborate with stakeholders to deliver data engineering solutions aligned with business goals.
- Write and optimize Python scripts for extraction, transformation, and loading tasks.
- Ensure data quality, security, and compliance with industry best practices.
- Troubleshoot and optimize ETL workflows for performance and reliability.
- Document processes and maintain clear technical documentation for pipelines.
- Stay updated with the latest trends in big data and cloud technologies.
Required Skills & Attributes
- Strong expertise in Python programming and data engineering libraries.
- Hands-on experience with Databricks for ETL pipeline development.
- Solid knowledge of SQL and NoSQL databases.
- Understanding of data warehousing and cloud platforms (Azure/AWS).
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently as well as in collaborative teams.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Technology, or equivalent.
- Experience: 3–5 years in data engineering with focus on Databricks & Python scripting.
Why Join EY?
- Work with a globally connected data and analytics team.
- Access innovative technologies, tools, and training.
- Collaborate with diverse professionals on impactful global projects.
- Build a career in one of the fastest-growing domains – AI & Data.
- Be part of a future-ready workplace that values growth, inclusivity, and innovation.
Apply Now
Take the next step in your data engineering career with EY. Apply directly through the official EY Careers portal here: