QA Engineer
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Key skills for this role
About the Role
DeepLight AI seeks a QA Engineer to ensure data platform correctness through automated testing, data validation, and API testing. You will design test suites, perform source-to-target reconciliation, and collaborate with data engineering teams.
Key Skills for This Role
Responsibilities
- Design, build, and own automated test suites – functional, integration, and end to end – embedded into CI
- Test the platform's API layer through contract testing, schema validation, and end to end checks
- Perform rigorous source to target reconciliation and checksums to ensure no silent failures
- Extend and run Soda Core checks across Bronze, Silver, and Gold layers
- Monitor automated alerts, perform initial root cause analysis on data drift or schema failures
- Collaborate with Data Engineering squads to embed automated validation into live data flows
Requirements
- 2 4 years of experience in QA / test automation on data intensive or backend platforms
- Strong proficiency in SQL and Python for test automation, data validation, and scripting
- Practical experience with API and contract testing (e.g. REST, schema/contract validation)
- Hands on experience designing and maintaining automated test frameworks and CI embedded suites
- Practical understanding of Lakehouse architectures and Medallion (Bronze/Silver/Gold) design pattern
- Hands on experience with AWS services (S3, Glue, Athena) or similar cloud data stacks
- Degree in Computer Science, Data Science, Information Systems, or related field
- Experience testing externally consumed or partner facing APIs in regulated data sharing contexts preferred
- Hands on exposure to data quality tooling such as Soda Core preferred
Full Job Posting
About the Role
- DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high impact intelligent systems.
- As a QA Engineer, you own how we prove our platforms work end to end – from the pipelines that move and transform data to the API layers that expose it.
Your responsibilities as a QA Engineer include
- Designing, building, and owning automated test suites – functional, integration, and end to end – embedded into CI so quality gates run continuously.
- Testing the platform's API layer through contract testing, schema validation, and end to end checks against externally consumed and partner facing data APIs.
- Performing rigorous source to target reconciliation and checksums to ensure no 'silent failures' occur during complex AWS Glue or Data Factory transformations.
- Extending and running Soda Core checks across Bronze, Silver, and Gold layers, and verifying that quality gates fire correctly as part of your automated suites.
- Monitoring automated alerts, performing initial root cause analysis on data drift or schema failures, and collaborating with squads to implement permanent countermeasures.
- Working alongside Data Engineering squads to embed automated validation into live data flows, and supporting the data contracts and OpenMetadata lineage that producers and consumers rely on.
Requirements
- 2–4 years of experience in QA / test automation, ideally on data intensive or backend platforms.
- Strong proficiency in SQL and Python for test automation, data validation, and scripting.
- Practical experience with API and contract testing (e.g. REST, schema/contract validation).
- Hands on experience designing and maintaining automated test frameworks and CI embedded suites.
- Practical understanding of Lakehouse architectures and the Medallion (Bronze/Silver/Gold) design pattern.
- Hands on experience with AWS services (specifically S3, Glue, and Athena) or similar cloud data stacks.
- A degree in Computer Science, Data Science, Information Systems, or a related field.
- The ability to look beyond a failed check to understand the root cause and its broader business impact.
- An uncompromising eye for accuracy, ensuring referential integrity, reconciliation, and checksums are perfectly aligned.
- Comfortable working in fast paced environments using Jira and participating actively in Scrum ceremonies.
- The ability to communicate technical issues clearly and constructively, fostering a culture of quality within the engineering team.
Preferred Skills
- Experience testing externally consumed or partner facing APIs, particularly in regulated data sharing contexts.
- Hands on exposure to data quality tooling such as Soda Core or equivalents.
- Prior exposure to OpenMetadata or other lineage and metadata management tools.
- A proactive drive to identify repetitive tasks and develop scripts to increase team efficiency.
- Familiarity with the specific data challenges found within the Financial Services or Banking sectors.
Benefits
- Competitive salary
- Comprehensive personal health insurance
- Visa Sponsorship for the successful individual
- Professional development and certification support
- Subscription reimbursement relating to your role
- Opportunity to work on cutting edge AI projects
- Monthly Employee Incentive program
- Career advancement opportunities in a rapidly growing AI company
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