Guidewire Data Engineer

Role Overview: As a Data Engineer with a background in property & casualty insurance, your role will involve supporting the creation of a second workstream within the Guidewire DataMart. This position is particularly well-suited for candidates with a consultant background. Key Responsibilities: - Utilize at least 5+ years of experience in data engineering, leveraging tools such as Guidewire, Azure, and Databricks. - Demonstrate familiarity with data lakes, Python programming, and deploying to Databricks. - Apply your full scope property & casualty insurance experience to handle data management and analysis specific to this sector. - Utilize your familiarity with Synapse to enhance data engineering processes. - Showcase your track record of processing large datasets, building scalable applications, and engaging in Rapid Prototyping. - Utilize your solid experience in Object Oriented Programming, with proficiency in Java, C#, or Python. - Apply your experience in Angular/React to contribute to building SPA applications. - Develop custom Data Pipelines for data extraction, mapping, transformation, and loading into various data stores like RDBMS, Oracle, S3, PL/SQL, and shared drives. - Leverage your expertise in Python and libraries such as Pandas/Numpy, or Spark. - Develop scripts in Linux and Windows environments, showcasing your demonstrable experience. - Utilize your experience in migrating applications to AWS (Cloud) as an added advantage. - Apply your knowledge of Cloud computing concepts (AWS) and CI/CD tools to enhance data engineering processes. - Extract data from REST APIs efficiently to support data processing requirements. - Exhibit strong problem-solving and troubleshooting skills, including on-call responsibilities. Qualifications Required: - At least 5+ years of experience in data engineering. - Hands-on experience with tools like Guidewire, Azure, and Databricks. - Full scope property & casualty insurance experience, including data management and analysis specific to this sector. - Familiarity with Synapse. - Track record of engineering experience with large datasets and scalable applications. - Proficiency in Object Oriented Programming in Java, C#, or Python. - Experience in Angular/React for building SPA applications. - Expertise in developing custom Data Pipelines for data extraction, mapping, transformation, and loading. - Strong experience in Python and libraries like Pandas/Numpy, or Spark. - Demonstrable scripting experience in Linux and Windows environments. - Knowledge of migrating applications to AWS (Cloud) is an added advantage. - Understanding of Cloud computing concepts (AWS) and CI/CD tools. - Familiarity with extracting data from REST APIs.,