Data Engineer

Job Summary For Data Engineer (Pure Insurance)Location: Remote

• Design, develop, and maintain scalable data pipelines, primarily using DBT (Data Build Tool).
• Build, manage, and optimize ETL workflows and data transformations with SSIS and T-SQL Stored Procedures.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and deliver robust data solutions.
• Utilize Databricks to process large-scale data sets and optimize data performance in cloud environments (Azure, AWS, or GCP).
• Ensure data quality, integrity, and consistency through best practices in validation and monitoring.
• Document data processes, architectures, and technical workflows clearly.
• Contribute to data architecture design and support analytics/business intelligence platforms.
• Troubleshoot and resolve complex data issues in systems and pipelines.
• Apply strong knowledge of data warehousing concepts, data modeling, and ETL best practices.
• Leverage experience with cloud data platforms (e.g., Snowflake, Azure Data Factory, AWS Glue).
• Work within Agile/Scrum frameworks and utilize version control (e.g., Git) and CI/CD for data engineering.
• Communicate effectively and demonstrate excellent problem-solving skills.
• Preferably possess experience within the insurance industry.