Description

You will own the data engineering pipeline, focusing on architecture, quality, and automated testing across GCP and Salesforce environments.

This role is hybrid.

Responsibilities

• Design and implement data lakehouse architectures and dimensional data models on GCP.
• Develop automated test scripts using Copado and Rest Assured for API and microservices.
• Create and execute test strategies covering functional, regression, integration, and performance aspects.
• Lead defect tracking, prioritization, and resolution to maintain software quality standards.
• Mentor QA engineers and coordinate User Acceptance Testing with business stakeholders.

Required Skills

• 10+ years of experience in data engineering and quality assurance.
• Deep expertise in GCP Data Architecture and Data Lakehouse patterns.
• Strong understanding of Master Data Management (MDM) concepts.
• Proficient in Dimensional Data Modelling.
• Hands-on experience with Salesforce data integration.
• Skilled in API and Microservices testing using Rest Assured.
• Experience with Copado Test Automation.
• Ability to lead and mentor technical teams.

Preferred Skills

• Experience managing end-to-end test plans for complex enterprise systems.
• Background in bridging business requirements with technical data solutions.

Key Skills

Education

Any Graduate