🛠 Tech Stack

💼 About This Role

You'll join a team of Hadoop and Data Operations specialists to ensure the health of vendor-agnostic data lake environments for global customers. You'll assist with complex migrations and provide expert-level troubleshooting, working alongside senior engineers to stabilize high-throughput data pipelines. This role offers a steep learning curve in large-scale distributed systems.

🎯 What You'll Do

• Support implementation and tuning of Hadoop data lake clusters.
• Diagnose issues across hardware, software, applications, and networks.
• Participate in performance tuning for low-latency, high-throughput processing.
• Provide dedicated support during and after migrations.

📋 Requirements

• 1–3 years experience in distributed systems or cloud environments.
• Good understanding of HDFS, YARN, and Hive/Impala.
• Strong Linux command-line skills (RedHat and Debian).
• Experience with scripting languages like Python, Bash, or Scala.

✨ Nice to Have

• Working knowledge of Kafka, NiFi, and Cloudera Manager.
• Bachelor's or Master's degree in Computer Science or related field.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Role requires rotational shift work for 24/7 global support
• Combines junior-level responsibilities with senior-level expectations (e.g., performance tuning, migration support)