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Senior Cloud Data Platform Engineer
3 weeks ago
Job Summary:
We are seeking a skilled Cloud Data Engineer and Leader to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data engineering solutions using cloud-native tools and best practices.
You will work closely with cross-functional teams to ensure the successful delivery of complex data engineering projects, focusing on developing automated validation solutions for ETL pipelines between databases using Python.
- Main Responsibilities:
- Design, develop, and maintain software components and automation frameworks to support scalable data engineering and validation solutions.
- Build and enhance Python-based automation tools to validate ETL workflows between databases, ensuring data accuracy and integrity.
- Develop reusable code for data validation, transformation testing, and reconciliation across large-scale data platforms.
- Implement and manage CI/CD pipelines for continuous integration and deployment of automation assets and software utilities.
- Collaborate with software engineers, architects, and analysts to align development and automation goals with project requirements.
- Lead and mentor team members (including offshore teams) deliver high-quality software and automation solutions.
- Technical Skills:
- Strong programming skills in one or more languages such as Python, Java, or Scala, with a focus on developing reusable, maintainable code.
- Experience designing and developing software components and frameworks as part of the software development lifecycle (SDLC).
- 3 + years of experience in Guidewire application suite especially Guidewire Datahub, Claim Center and Policy Center.
- 9 + years of experience of working in various IT projects in the Insurance industry, acquaintance with various industry standard models.
- Hands-on experience with Any cloud platforms, like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps (for CI/CD integration).
- Solid skills in SQL for data processing, transformation validation, and performance optimization.
- Experience with test automation frameworks used as part of engineering quality assurance.
- Familiarity with CI/CD pipelines, version control systems (Git), and Agile/Scrum methodologies.
We offer a dynamic and collaborative work environment that fosters growth and innovation. Our team is passionate about delivering exceptional results and making a meaningful impact in the industry.
Please submit your application if you are a motivated and experienced professional looking to take on new challenges and contribute to our success.