Data Engineer

EXL is seeking a skilled Data Engineer to join their team. The successful candidate will be responsible for the development and optimization of data pipelines, implementing data checks, and ensuring data accuracy and integrity to support data-driven decision-making processes in their insurance-focused operations.

Responsibilities:

• Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
• Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems adddress 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

Requirements:

• 7-12 years experience on Data Engineering role working with Databricks and any Cloud technologies- AWS , Azure , Databricks
• 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 any cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake , S3, Lamda
• Experience with data modeling, ETL processes, Delta Lake and data warehousing
• Experience on Delta Live Tables, Autoloader & Unity Catalog
• 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
• Knowledge of the insurance industry and its data requirements