Hadoop Maintenance Engineer
1 day ago
Job Title: Hadoop Maintenance Engineer
Location: Mohali
Experience: 2–5 Years
Job Overview:
We are seeking a skilled Hadoop Maintenance Engineer to manage, monitor, and optimize our Hadoop ecosystem. The ideal candidate will have hands-on experience in maintaining HDFS, Hive, and Spark clusters, ensuring smooth data flow and system reliability across distributed environments.
Key Responsibilities:
- Perform daily monitoring, maintenance, and troubleshooting of Hadoop clusters (HDFS, Hive, Spark).
- Manage cluster upgrades, patching, and performance tuning.
- Ensure data reliability, availability, and security within the Hadoop ecosystem.
- Diagnose and resolve cluster issues, node failures, and performance bottlenecks.
- Implement data replication, backup, and recovery strategies.
- Work closely with data engineering teams to optimize Hive queries and Spark jobs.
- Monitor and maintain system health using tools like Ambari, Cloudera Manager, or similar.
- Develop scripts for automation and system improvements (using Shell, Python, etc.).
- Document processes, configurations, and incident resolutions.
Required Skills & Experience:
- 2–5 years of experience in Hadoop ecosystem management.
- Strong knowledge of HDFS architecture and file management.
- Expertise in Hive (data warehousing, query optimization) and Spark (batch/stream processing).
- Proficiency in Linux/Unix systems and shell scripting.
- Familiarity with Hadoop ecosystem tools like YARN, Oozie, Sqoop, or Kafka (preferred).
- Understanding of cluster resource management and tuning.
- Experience with monitoring tools and log analysis.
Preferred Qualifications:
- Experience with Cloudera or Hortonworks distributions.
- Knowledge of cloud-based Hadoop deployments (AWS EMR, Azure HDInsight, GCP Dataproc).
- Strong analytical and troubleshooting skills.
- Excellent communication and documentation abilities.
Education:
- Bachelor's degree in Computer Science, Information Technology, or related field.
Job Types: Full-time, Permanent
Work Location: In person
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