Hadoop Data Engineer
Denver, Colorado
Employer: Experis
Industry:
Salary: Competitive
Job type: Part-Time
Role : Hadoop Data Engineer
Location(s) : Chicago IL or Denver CO
Remote : Must able to work 3 days a week onsite
Term : 12-18 Month Contract (Must be able to work W2 - Cannot work C2C)
Compensation : Negotiable
Interview Process : Must be able to Interview Onsite
Qualifications :
• Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Experience working with Hadoop/Big Data and Distributed Systems
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important
Location(s) : Chicago IL or Denver CO
Remote : Must able to work 3 days a week onsite
Term : 12-18 Month Contract (Must be able to work W2 - Cannot work C2C)
Compensation : Negotiable
Interview Process : Must be able to Interview Onsite
Qualifications :
• Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Experience working with Hadoop/Big Data and Distributed Systems
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important
Created: 2024-06-07
Reference: 310707
Country: United States
State: Colorado
City: Denver
ZIP: 80264
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