Applications are currently unavailable for this posting.
Browse current jobs- Employment type
- Full-time
- Experience level
- 10+ years
- Apply by
- Mar 23, 2027
- Posting language
- English
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Analyze and wrangle large volumes of data using big data technologies and tools. Perform performance analysis, troubleshoot issues, and resolve them within the Cloudera big data ecosystem.
Job details
10+ Years of experience Strong experience in Kafka, Spark, Scala,SQL ,Hive, Impala, Hadoop, Splunk, Autosys . Data Analysis and Data Wrangling skills when dealing with Huge Volume. Performance analysis, troubleshooting and resolution including Cloudera Big Data eco system. Experience with Linux-based infrastructures.Competencies: Strong verbal and written communication skills; ability to face off to business users Self-motivated individual and with determination to achieve goals Willingness to learn, both technically and professionally Strong analytical and problem solving skills Good team working skills and ability to work in a distributed global team environment Ability to work on a fast-pace environment; Flexible and able to deliver quality results in the required timeframe
What you’ll do
Analyze and wrangle large volumes of data using big data technologies and tools. Perform performance analysis, troubleshoot issues, and resolve them within the Cloudera big data ecosystem.
Requirements
Requires 10 or more years of experience and strong skills in Kafka, Spark, Scala, SQL, Hive, Impala, Hadoop, Splunk, Autosys, and Linux-based infrastructure. Candidates should also have strong analytical and problem-solving abilities, communication and teamwork skills, and the flexibility to deliver quality results in a fast-paced environment.
Listed skills
- SQL · Preferred
- Splunk · Preferred
- Data analysis · Preferred
- Troubleshooting · Preferred
- Linux · Preferred
- Communication · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Kafka
- Spark
- Scala
- SQL
- Hive
- Impala
- Hadoop
- Splunk
- Autosys
- Data Analysis
- Data Wrangling
- Performance Analysis
- Troubleshooting
- Cloudera Big Data Ecosystem
- Linux
- Communication
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
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