Associate Product Support Engineer

About the Role

Acceldata is seeking a high-energy Associate Product Support Engineer to join our elite team of Hadoop and Data Operations specialists. This role isdesigned 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.

Technical Requirements

• Foundation: 1–3 years of experience in distributed systems, cloud environments, or data management services.
• Hadoop Stack: Good understanding of HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, and Cloudera Manager is a plus.
• Linux Proficiency: Strong command-line skills; ability to configure and troubleshoot RedHat and Debian-based distributions.
• Scripting: Experience with scripting languages such as Python, Bash, or Scala for automation and debugging.
• Education: A Bachelor’s or Master’s degree in Computer Science or a related technical field.

Operational Expectations

• Shift Work: This role requires flexibility to work in rotational shifts to support our global 24/7 operations.
• Collaboration: A proactive team player who can communicate complex technical issues clearly to both internal engineering teams and external customers.