Onshore Technical Lead

1 week ago

Sydney, Australia Cognizant Full time

**Position Summary**:
**Mandatory 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).
- 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.
- Exposure to ETL processes and data pipeline validation, with the ability to lead technical testing efforts while maintaining engineering best practices.
- Experience of analyzing financial data from different sources like Evolve, AOPCICIS, CTPCICS etc.
- Should have exposure to any of the cloud technologies like AWS, Azure
- Experienced in developing automated validation solutions for ETL pipelines between databases using Python, as part of end-to-end software delivery.

**Duties and 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.
- 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) 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
- Proposing automation techniques and tools that can improve the 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

**Qualification**

**Salary Range: >$100,000**

**Date of Posting: 25/August/2025**

**#LI-CTSAPAC

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