24 days ago
Base Salary
$88k - $114k/yr
Responsibilities
- Develop synthetic workload queries and datasets for testing DataPelago Accelerator for Spark that reflect real-world customer environments and workloads.
- Build diagnostic and analysis tools for DPA-S, Apache Spark, and deployment-environment logs to identify root causes and mitigations for functional and performance issues.
- Handle or escalate customer support issues as part of the product support rotation.
- Conduct end-to-end product validation and help define, review, and execute test plans.
- Analyze validation artifacts and customer issues to identify configuration tuning opportunities, product usage recommendations, and product bugs.
- Use automation and AI techniques throughout product validation and support workflows.
- Create bug reports, root-cause analysis documents, configuration guides, and best-practice documentation.
Requirements
- Bachelor’s degree in computer science or a related field.
- 8+ years of experience related to developing, validating, and supporting enterprise data-processing software products.
- At least 2 years of experience providing direct support to external customers.
- At least 2 years of experience supporting Apache Spark pipelines for data engineering and analytics.
- Proficiency running Spark jobs from various clients, provisioning Spark resources, configuring and tuning Spark parameters, using Spark History Server and Spark UI, and analyzing Spark event logs and other Spark logs.
- Solid knowledge of SQL and Python.
- Proficiency testing data products and developing test automation.
- Understanding of deploying and operating data-processing products and pipelines in SaaS, VM-based, container-based, and serverless cloud environments.
- Experience with GCP, AWS, and their Apache Spark-related offerings is preferred.
- Strong customer engagement and communication skills.
Benefits
- Comprehensive benefits package may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, employee stock purchase plans, and restricted stock units.
- Benefits and offerings vary by country and region and are subject to local laws, regulations, and company policies.
Tech Stack
Categories
Data EngineeringTesting
About NetApp
NetApp builds data storage and data management software and hardware for enterprises, including ONTAP-powered all-flash arrays and hybrid cloud services that integrate with AWS, Azure, and Google Cloud. It sells systems and subscriptions that support backup, disaster recovery, databases, and container/Kubernetes workloads. Founded in 1992 and headquartered in San Jose, California, NetApp is a public company listed on NASDAQ.