Big Data (Hadoop) Support Engineer

Responsibilities

• Provide technical support and troubleshooting for Big Data applications and systems built on the Hadoop ecosystem.
• Monitor system performance, analyze logs, and identify potential issues before they impact services.
• Collaborate with engineering teams to deploy and configure Hadoop clusters and related components.
• Assist in maintenance and upgrades of Hadoop environments to ensure optimum performance and security.
• Develop and maintain documentation for processes, procedures, and system configurations.
• Implement data backup and recovery procedures to ensure data integrity and availability.
• Participate in on-call rotations to provide after-hours support as needed.
• Stay up to date with Hadoop technologies and support methodologies.
• Assist in the training and onboarding of new team members and users on Hadoop best practices.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in Big Data support or system administration, specifically with the Hadoop ecosystem.
• Strong understanding of Hadoop components (HDFS, MapReduce, Hive, Pig, etc.).
• Experience with system monitoring and diagnostics tools.
• Proficient in Linux/Unix commands and scripting languages (Bash, Python).
• Basic understanding of database technologies and data warehousing concepts.
• Strong problem-solving skills and ability to work under pressure.
• Excellent communication and interpersonal skills.
• Ability to work independently as well as collaboratively in a team environment.
• Willingness to learn new technologies and enhance skills.

Skills: Hadoop, spark/scala, HDFS, SQL, Unix Scripting, Data Backup, System Monitoring

Benefits

Competitive salary and benefits package.

Opportunity to work on cutting-edge technologies and solve complex challenges.

Dynamic and collaborative work environment with opportunities for growth and career advancement.

Regular training and professional development opportunities.