ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.
Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
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.
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.
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.
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.
