Job Description

We are seeking a skilled Databricks 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:

• 4-9 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.
• Bachelors 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
• 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.
• 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 problem-solving skills and ability to work under tight deadlines.

• Hands-on experience with performance tuning of data pipelines and workflows

• Excellent communication and problem-solving skills to work effectively with diverse teams