Big Data (Hadoop) Support Engineer

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.