Acceldata is seeking a high-energy Associate Product Support Engineer to join our elite team of Hadoop and Data Operations specialists. This role is designed for a junior professional looking to master the complexities of large-scale distributed systems.
You will be responsible for ensuring the health of vendor-agnostic data lake environments, assisting with complex migrations, and providing expert-level troubleshooting for our global customers. This role offers a steep learning curve and the opportunity to work alongside senior engineers to stabilize and optimize high-throughput data pipelines.
Key Responsibilities
Cluster Operations: Support the implementation, stabilization, and tuning of Hadoop data lake clusters (HDFS, YARN, Hive/Impala) under the guidance of senior engineers. Troubleshooting: Assist in diagnosing issues across the entire stack, including hardware, software, applications (Spark, NiFi), and networks. Performance Tuning: Participate in deep-dive analysis to optimize data processing jobs, aiming for low-latency and high-throughput performance. Migration Support: Provide dedicated support during and after migrations to ensure system reliability and prompt resolution of evolving technical challenges. Customer Advocacy: Listen actively to customer concerns, demonstrating empathy while providing technical solutions in a 24/7 global support environment. Deployment: Assist with onboarding deployments of Acceldata products.