Hadoop Developer
Job ID : 34442
Job Title : Hadoop Developer
Location : Manchester, MI
Comapny Name : Dart Point
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $34000 - $44000 per hour
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 08-16-2023
Required Skills : Hadoop, Pig, HBase, Hive.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Requirement:
- 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.
Key Skills:
- Knowledge of the Hadoop ecosystem and its components.
- Ability to write manageable, reliable, and high-performance codes.
- Expert knowledge of Hadoop, Pig, HBase, and Hive.
- Work experience in HQL Hibernate Query Language.
Company Details :
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