Job Description
Summary
WTW is seeking an experienced Azure Data Engineer to join our technology team in Gurugram and Thane, India. This role offers the opportunity to work on data pipeline design, coding, integration, and optimization while ensuring data quality, reliability, and performance. As an Azure Data Engineer at WTW, you will collaborate with clients and stakeholders to deliver scalable solutions, support system troubleshooting, and continuously improve existing data processes. This is an excellent opportunity for professionals with strong expertise in Azure, data engineering, and performance tuning who want to grow their career in a global organization.
Job Details at a Glance
| Job Title | Azure Data Engineer – WTW |
|---|---|
| Location | Gurugram, Haryana & Thane, Maharashtra |
| Employment Type | Full-time |
| Shift | Day Shift |
| Experience Level | 3–6 years in Data Engineering (preferred) |
| Industry | IT / Data Engineering |
| Tools & Skills | Azure Data Pipelines, SQL, Data Integration, Debugging, Unit Testing |
| Education | Graduate in Engineering or IT specialization |
Key Responsibilities
- Analyze large data sets and design stable, scalable, and high-performing data pipelines.
- Integrate new pipelines with existing data systems to ensure seamless workflows.
- Conduct unit testing to guarantee functional accuracy and timely delivery.
- Implement processes and tools to improve data quality, reliability, and governance.
- Review, refactor, and debug code to address defects, enhance performance, and reduce technical debt.
- Provide technical support and troubleshooting for developed systems to ensure operational continuity.
- Collaborate with business stakeholders and clients to translate requirements into technical solutions.
- Ensure solutions align with best practices in Azure and data engineering.
Required Skills & Qualifications
- Graduate in Engineering or IT specialization.
- Proven experience in Azure Data Engineering and pipeline development.
- Strong skills in SQL, coding, debugging, and refactoring.
- Hands-on expertise with unit testing and quality assurance processes.
- Ability to analyze data for quality, accuracy, and performance optimization.
- Strong problem-solving skills with experience in technical troubleshooting.
- Excellent collaboration and communication skills to work with stakeholders.
Why Join WTW?
- Be part of a global leader with presence in over 140 countries.
- Work in a collaborative and innovation-driven environment.
- Opportunity to grow your career in Azure data engineering and advanced analytics.
- Competitive benefits and opportunities for career progression.
Apply Now
Ready to take the next step in your career as an Azure Data Engineer at WTW? Submit your application today via the official WTW careers portal: