Inizio Partners is seeking a skilled Senior Data Engineer to join their team. The successful candidate will be responsible for the development and optimization of data pipelines, ensuring data accuracy and integrity to support data-driven decision-making processes in their insurance-focused business operations.
Responsibilities:
- 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:
- 4-9 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
- 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