Select Minds LLC

SDET

• Design, build, and maintain Python-based test automation frameworks, not just individual test cases
• Define reusable test libraries for validating data platforms and distributed systems
• Drive automation standards, patterns, and best practices across teams
• Validate Kafka-based event streams, including:
• ◦ Topic-level data validation
• ◦ Producer and consumer behavior
• ◦ Message schemas, payload integrity, ordering, and replay scenarios
• ◦ Failure handling, retries, and dead-letter scenarios
• Test asynchronous workflows and event propagation across services
• Validate end-to-end data flows across distributed services and pipelines
• Test backend APIs, service integrations, and asynchronous processing layers
• Perform schema validation, transformation checks, data consistency, and completeness validation
• Test cloud-native data platforms built on AWS services such as:
• ◦ S3, Glue, Redshift, Lambda (or similar services)
• Validate ingestion, processing, storage, and downstream consumption of data
• Debug data and automation failures across multiple cloud services
• Embed automation into CI/CD pipelines
• Enforce quality gates and fail pipelines on critical data or platform issues
• Provide actionable feedback to engineering teams based on automation results
• Work closely with data engineers, platform engineers, and architects
• Define test strategies for event-driven and distributed data systems
• Proactively identify quality risks and gaps in platform design

Senior SDET, Data & Platform Quality