About the role
structured by ORISenior Spark QA Engineer – Functional & Performance Testing Location: Remote Experience: 5+ Years Job Description - We are looking for a Senior Spark QA Engineer with strong expertise in functional and performance testing of Apache Spark applications and distributed data platforms. Key Responsibilities - Perform…
What you will do
- Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines.
- Execute functional, scalability, and performance testing for Spark workloads.
- Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc.
- Conduct benchmarking, validation, and performance analysis of Spark applications.
- Identify bottlenecks and troubleshoot distributed system issues.
What they are looking for
- 5+ years of QA/testing experience with strong hands-on expertise in Apache Spark.
- Experience in functional and performance testing of distributed systems.
- Strong understanding of Spark architecture and optimization techniques.
- Experience with Kubernetes and cloud-based Spark environments.
- Proficiency in Python or Java.
- Experience with automation frameworks and CI/CD pipelines.
Full posting text
Senior Spark QA Engineer – Functional & Performance Testing
Location: Remote
Experience: 5+ Years
Job Description -
We are looking for a Senior Spark QA Engineer with strong expertise in functional and performance testing of Apache Spark applications and distributed data platforms.
Key Responsibilities -
Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines.
Execute functional, scalability, and performance testing for Spark workloads.
Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc.
Conduct benchmarking, validation, and performance analysis of Spark applications.
Identify bottlenecks and troubleshoot distributed system issues.
Lead QA initiatives and mentor team members.
Required Skills -
5+ years of QA/testing experience with strong hands-on expertise in Apache Spark.
Experience in functional and performance testing of distributed systems.
Strong understanding of Spark architecture and optimization techniques.
Experience with Kubernetes and cloud-based Spark environments.
Proficiency in Python or Java.
Experience with automation frameworks and CI/CD pipelines.
Originally posted on Himalayas