Provide technical support and troubleshooting for Big Data applications and systems built on the Hadoop ecosystem.

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.

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.

Provide technical support and troubleshooting for Big Data applications and systems built on the Hadoop ecosystem.

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.

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.