Ensure quality of the data processing engine, in terms of result accuracy, performance fidelity, and robust execution at scale.
Requirements
• BS EE/CS or equivalent
• 5+ years of experience in data processing quality or performance testing for database, data warehouse, or query engine applications. Experience testing for platforms such as Apache Spark, Gluten, Velox, DataFusion preferred.
• Solid knowledge of SQL, Python, and similar data processing languages
• Automation-first mindset, experienced with programming/scripting languages and automation tools.
• Strong in problem-solving and coming up with the test strategy for the complex system.
• Strong in debugging, root cause, and narrowing down the failures.
• Experience in Functional, Performance, Integration, System Level testing
• Experience with the use of public cloud platforms such as AWS, GCP, and MS Azure
• Good Knowledge of tools like Jira, Confluence, Git, Jenkins.
• Good understanding of SDLC and agile methodologies.
• Good understanding of CI/CD implementations.
Top Skills
What We Do
DataPelago is redefining how enterprises process data for AI and analytics at scale. As organizations race to operationalize artificial intelligence, they are discovering that the greatest barrier to progress isn’t a lack of models or talent – it’s the infrastructure beneath them. Data pipelines remain fragmented across specialized systems for analytics, AI, and data engineering, each optimized for specific workloads but incapable of operating as a cohesive whole. The result is inefficiency: duplicated data, stranded compute resources, and escalating costs that slow innovation.
DataPelago was founded to solve this challenge. Its flagship product, Nucleus, is the world’s first Universal Data Processing Engine (UDPE) – a new layer that sits between data lakes and query engines to unify data processing within a single, hardware-aware stack. Built from first principles for accelerated computing, Nucleus allows companies to process, move, and activate their data orders of magnitude more efficiently than existing systems.
At its core, Nucleus dynamically orchestrates workloads across heterogeneous compute environments – CPUs, GPUs, TPUs, and FPGAs – ensuring every job runs on the optimal hardware for maximum performance and efficiency. This unified approach eliminates the need to maintain separate infrastructure for different data workloads, dramatically reducing complexity and total cost of ownership by up to 40%.
Nucleus supports structured, unstructured, and semi-structured data in a single environment, enabling AI and analytics workloads to coexist seamlessly. It integrates easily with existing data ecosystems and open-source frameworks, providing enterprises with flexibility and performance without requiring code changes or proprietary lock-in.
With Nucleus, data teams can accelerate queries, streamline pipelines, and scale AI initiatives faster, all while controlling infrastructure spend. Early adopters across industries are leveraging the platform to speed up data preparation, model training, and real-time analytics by up to 10x, turning data from a bottleneck into a competitive advantage.
DataPelago’s mission is to make high-performance, cost-efficient data processing achievable for every enterprise. By bridging the gap between data infrastructure and AI innovation, the company is helping organizations unlock the full potential of their data, laying the foundation for a new era of intelligence at scale.
Why Work With Us
DataPelago is pioneering the world’s first Universal Data Processing Engine, unifying AI and analytics in a single, hardware-aware platform. We’re solving one of the biggest challenges in enterprise AI – making data infrastructure faster, simpler, and more efficient. Join us to build the foundation for the next era of intelligent computing.
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