We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for maintaining and optimizing data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Key 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.

- Work closely with other teams, including data analysts, IT professionals, and business stakeholders, to understand data needs and deliver solutions that meet these requirements.

Candidate Profile :

- 5- 10 years experience.

- Bachelor's degree in computer science, Information Technology, or related field.

- Proven experience as a Data Engineer or in a similar role.

- Strong proficiency in Databricks, SQL, SAS and PySpark

- Experience with data modeling, ETL processes, and data warehousing.

- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

- Excellent problem-solving skills and ability to work under tight deadlines.