Purpose | · Independently Design and build/configure Big data pipelines as per the design · Able to identify and solve big data problems independently. · Work closely with Sr. Big data developer to report any issues in build · Work on defect fixes during QA & UAT. · Work through the life cycle of the code from low-level design to production and Postproductions support. |
Experience | · 8-15 yrs. of IT experience with more than 4 yrs. of big data implementation experience. |
Capabilities | · Strong technical and analytic skills to solve complex big data problems. · Experienced with Spark software stack, Prior experience in working on Spark using Python or Scala or Java and PySpark based big data implementations. · Have strong knowledge and hands-on few of HDFS, Map reduce Hive, Impala, Tej, Sqoop, Pig, Oozie, HBase, Cassandra, Mongo DB, Kafka, Spark, Storm, Knox, Ranger, Flume, NiFi, Falcon, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator and Ambari. |
Enterprise Competencies | · Independent High level design and developer · Strong communicator · Ability to manage stakeholders' expectations. |
Technical Competencies | · Big Data Stack (Spark, Hive, Hbase, Apache Pheonix, Pig), Python , Scala, Kafka, Spark Streaming, Atlas, Pig, Java ,SQL, Impala, Tej, Sqoop, Pig, Oozie, HBase, Cassandra, Mongo DB, · Kafka, Spark, Storm, Knox, Ranger, Flume, Nifi, Falcon, Kerberos, Sentry, Cloudera Manager, Cloudera Navigator and Ambari. · Good Handson Experience in AWS Glue · Good Experience in CICD & DevOps concepts · Good experience working in any cloud environment (Azure / AWS Glue/ GCP) using Agile methodology |
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
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