We are looking for a highly motivated and detail-oriented Data Engineer to join our growing data and analytics team. In this role, the candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and workflows that support enterprise reporting, analytics, and business decision-making. This role requires strong expertise in modern data engineering practices, including ETL/ELT development, data quality validation, data modeling, and cloud-based data platform implementation.
The ideal candidate will work closely with cross-functional stakeholders, including business teams, analysts, architects, and developers, to ensure reliable and high-quality data availability across multiple systems. A key focus of this role will be to build robust and efficient data solutions using Azure and Databricks technologies, implement data validation and monitoring mechanisms, and proactively troubleshoot performance or pipeline issues.
This position plays an important role in enabling data-driven transformation within the organization, particularly in supporting insurance domain use cases, where data accuracy, consistency, and governance are critical. The candidate is also expected to contribute within an Agile delivery model, participate in sprint ceremonies, and continuously improve data engineering processes, standards, and platform performance.
Responsibilities- Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines.
- Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
- Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
- Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
- Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.
- 3-6 years’ experience on Data Engineering role working with Databricks & Azure Cloud technologies.
- Bachelor’s degree in computer science, Information Technology, or related field.
- Strong proficiency in PySpark, Python, SQL.
- Strong experience in data modeling, ETL/ELT pipeline development, and automation
- Hands-on experience with performance tuning of data pipelines and workflows
- Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.
- Experience with data modeling, ETL processes, Delta Lake and data warehousing.
- Experience on Delta Live Tables, Autoloader & Unity Catalog.
- Preferred - Knowledge of the insurance industry and its data requirements.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication and problem-solving skills to work effectively with diverse teams
- Excellent problem-solving skills and ability to work under tight deadlines.
Skills Required
- 3-6 years of experience in data engineering using Databricks and Azure Cloud technologies
- Bachelor's degree in computer science, information technology, or a related field
- Strong proficiency in PySpark, Python, and SQL
- Experience with data modeling, ETL/ELT pipeline development, and automation
- Hands-on experience tuning data pipeline and workflow performance
- Proficiency with Azure Data Factory, Azure Databricks, and Azure Data Lake
- Experience with Delta Lake and data warehousing
- Experience with Delta Live Tables, Autoloader, and Unity Catalog
- Knowledge of the insurance industry and its data requirements
- Strong analytical, communication, and problem-solving skills
- Ability to work under tight deadlines and collaborate with diverse teams
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
