Data Engineer

About the job

Job Overview: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of 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

• Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

Candidate Profile:

• 4-7 years experience on Data Engineering role working with Google Cloud Platform technologies.

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

• Strong proficiency in PySpark, Python, SQL, Migration experience, airflow/Kubeflow/MLflow, DE concepts and limitations,

• 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 GCP cloud components.

• Experience with data modeling, ETL processes.

• 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.