Data Engineer

Job Description : We are looking for Data Engineer supporting the development and maintenance of Enterprise Data Hub within the insurance domain. The ideal candidate will have strong experience in AWS cloud services, data pipeline development, and insurance data models. This role will play a key part in enabling data-driven decision-making across the organization. The successful candidate will collaborate closely with data architects, enterprise architects, infrastructure, and other cross-functional teams to build data pipelines that are scalable and aligned to best practices for data management, change management, integration, and analysis This is an exciting opportunity to work on cutting-edge technologies, solve complex challenges, and drive impactful insights that fuel our company's success. The role reports to the Enterprise Data Hub Product Lead. This role is ideal for a proactive and detail-oriented professional who is passionate about development, governance and controls. If you thrive in a dynamic environment and are committed to maintaining high standards of IT control, this position offers a rewarding opportunity to make a significant impact. Your skills and abilities should include : 10+ years of experience in data engineering or related roles, in the insurance industry.(Re-insurance) Strong hands-on experience with AWS data services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR). Proficiency in SQL, Python, and data modelling. Experience with ETL tools and frameworks. Familiarity with insurance data domains (e.g., claims, policy, billing). Understanding of data governance, lineage, and compliance (e.g., HIPAA, GDPR). Experience with CI / CD and version control tools (e.g., Git, CodePipeline). AWS or Solutions Architect certifications are not required but preferred. Experience with data lakes and lakehouse architectures is a strong plus. Exposure to BI tools (e.g., Power BI, Tableau, QuickSight) is preferred. Bachelor's or Master's degree in Computer Science, Data Engineering, or related field is a strong plus. Excellent organizational, communication, and interpersonal skills. Ability to work individually with limited oversight. Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment. Demonstrated ability to influence and work effectively within a global organization with employees at all levels. Motivated, team-oriented, with strong problem-solving and project management skills. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL processes for the Enterprise Data Hub. Implement data ingestion, transformation, and storage solutions using AWS services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR). Work with structured and unstructured data from various insurance systems (e.g., policy, claims, underwriting). Collaborate with data architects, analysts, and business stakeholders to understand data requirements. Collaborate with enterprise architects to understand integration design patterns. Collaborate with infrastructure to align to best practices for code deployments and change management. Ensure data quality, integrity, and governance across the data lifecycle. Optimize data workflows for performance, scalability, and cost-efficiency. Support data cataloguing and metadata management initiatives. Implement security and compliance best practices for sensitive insurance data