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Data Engineering Technical Lead
2 weeks ago
Job Title: Technical Lead for Data Engineering
Our team is seeking a highly skilled Technical Lead to lead the design and development of software solutions using cloud-native tools and best practices.
The successful candidate will have deep experience in Cloud data platforms, ETL pipeline automation, and test engineering leadership.
This challenging role involves developing software solutions and automated validation for complex enterprise data systems.
The candidate will be responsible for managing an in-house Data Analytics Platform that integrates claim, portfolio, and pricing data from various source systems.
The successful candidate will also lead testing efforts, guide offshore teams, and ensure quality across Cloud-based data engineering projects.
- Strong programming skills in one or more languages such as Python, Java, or Scala.
- 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 working in various IT projects in the Insurance industry.
- Hands-on experience with Any cloud platforms, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure DevOps.
- 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.
- Exposure to ETL processes and data pipeline validation, with the ability to lead technical testing efforts while maintaining engineering best practices.
- 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.
- Participate in the full software development lifecycle (SDLC) including requirements gathering, design, coding, testing, deployment, and documentation.
- Implement and manage CI/CD pipelines for continuous integration and deployment of automation assets and software utilities.
- Work on data engineering projects deployed on cloud-based platforms, collaborating with teams to ensure testable, reliable, and high-performing systems.
- Collaborate with software engineers, architects, and analysts to align development and automation goals with project requirements.
- Lead and mentor team members, including offshore teams, to deliver high-quality software and automation solutions.
- Engage in Agile delivery processes, including sprint planning, stand-ups, and retrospectives, with a focus on iterative improvements.
- Monitor, troubleshoot, and enhance the performance of automation scripts and software tools in development and production environments.
- Propose automation techniques and tools that can improve current practices in development and testing.
- Act as a lead point of contact for test strategy, defect triage, and quality assurance across multiple data streams or workstreams.
