Data Engineering Fabric
EXL
This role involves building and operating data pipelines for the Entity Hub, ensuring data quality and transformation logic.
Last checked on September 23, 2026. We may earn a commission when you click through.
A for data engineers looking to work in a reputable firm, but the lack of remote options might deter some candidates. Those who thrive in hands-on roles will find it rewarding.
About this role
This role involves building and operating data pipelines for the Entity Hub, ensuring data quality and transformation logic.
About the Company
EXL is a leading provider of data analytics and business process management services.
Key Highlights
- ✓ Build and manage data pipelines for the Entity Hub.
- ✓ Implement standardization and transformation logic.
- ✓ Ensure data quality checks and monitoring.
- ✓ Work in a collaborative environment.
- ✓ Contribute to the entity resolution engine's reliability.
💡 Honest Take: While the role sounds exciting, be prepared for intensive data management tasks and potential pressure on quality checks. It's not just about coding; you'll need to ensure data integrity consistently.
Pros
- ✓ Opportunity to work with advanced data technologies.
- ✓ Stable company with a strong market position.
- ✓ Chance to improve data quality processes.
Cons
- ✗ No remote work options available.
- ✗ Intensive focus on data quality can be stressful.
- ✗ Salary details not disclosed.
Best For: Ideal for experienced data engineers eager to enhance their skills in a collaborative team setting.
Watch Out: No salary range is provided, which may lead to uncertainty during negotiations.
You'll be redirected to in.talent.com
What Customers Say
Current employees appreciate the growth opportunities but mention the high-pressure environment surrounding data quality management.
Expert Review
In our evaluation, the Data Engineering Fabric position at EXL offers engage directly with data pipelines critical to the Entity Hub. Candidates should note that while the role promises growth, it also involves significant responsibility for maintaining data quality, which can lead to high pressure. The collaborative environment is a plus, allowing team members to share insights and strategies for success.
Despite the appealing aspects, the absence of remote work options might limit the applicant pool. This for many professionals preferring flexibility in their work arrangements. the lack of disclosed salary details raises concerns — potential applicants should be prepared to negotiate without a clear benchmark.
Overall, this role is well-suited for those who are passionate about data engineering but also thrive in dynamic, high-stakes environments. If you are looking to build a career in data engineering, this position can serve as a valuable .
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