Senior Data Engineer/Big data

Original job posting

The role involves managing huge volumes of data through analysis and wrangling. It also requires performance analysis and troubleshooting within the Cloudera Big Data ecosystem.

Job details

Job Description : 10+ Years of experience 2. Strong experience in Kafka, Spark, Scala,SQL ,Hive, Impala, Hadoop, Splunk, Autosys . 3. Data Analysis and Data Wrangling skills when dealing with Huge Volume. 4. Performance analysis, troubleshooting and resolution including Cloudera Big Data eco system. 5. 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

The role involves managing huge volumes of data through analysis and wrangling. It also requires performance analysis and troubleshooting within the Cloudera Big Data ecosystem.

Requirements

Candidates must have over 10 years of experience with a strong technical stack including Kafka, Spark, and Hadoop. Strong communication skills and the ability to work in a fast-paced, global team environment are essential.

Listed skills

• SQL · Preferred
• Splunk · Preferred
• Data analysis · Preferred
• Troubleshooting · Preferred
• Linux · 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
• Linux

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Transportation