🛠 Tech Stack

💼 About This Role

You'll own complex Hadoop environments and drive reliability for data processing systems. Collaborating with customer engineering teams, you'll solve challenges during migrations and optimize post-migration performance. This role offers hands-on impact on enterprise data observability at a leading SaaS company.

🎯 What You'll Do

• Provide tier-2/3 support for Hadoop cluster issues across the full stack.
• Conduct deep-dive debugging and optimization of Hadoop components.
• Lead support during ODP Hadoop migrations and upgrades.
• Design and optimize distributed Hadoop applications for low-latency, high-throughput performance.

📋 Requirements

• 5+ years of hands-on experience with Hadoop environments.
• Technical proficiency in core Hadoop services (HDFS, YARN, Hive/Impala).
• Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
• Advanced Linux skills (Red Hat/Debian tuning and troubleshooting).

✨ Nice to Have

• Proficiency in Python, Bash, or Scala for automation.
• Experience with system automation and performance monitoring.

🎁 Benefits & Perks

• 🚀 Impact on enterprise data products at a Series-C funded company.
• 🌐 Remote work flexibility bridging EST-PST hours.
• 📈 Career growth with cutting-edge technologies like AI and DataOps.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min