Key skills
ApacheCloudDistributed SystemsETLJavaKubernetesPythonSparkSQLYarnDatabricksApache SparkyarnCI/CD
About this role
Role Overview
- 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.
Requirements
- 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.
Tech Stack
- Apache
- Cloud
- Distributed Systems
- ETL
- Java
- Kubernetes
- Python
- Spark
- SQL
- Yarn