VUPICO is a leading enterprise business and technology solutions partner for Small, medium and large global customers, is seeking for experienced professionals, who thrive on challenge and desire to make a real difference. With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a quality-oriented, fast-paced, team environment.

Vupico is growing MNC, operating from Different locations (Japan, India, Singapore, Australia & USA) across the globe.

Role: Hadoop Technical Consultant (Mid- level)

Skillset: Hadoop, Hive, Spark, Python, Hbase, Kafka, Pig, Solr, NiFi, SVN, GIT, Data Landscaping and Algorithms.

Experience: 3+ years’

Work Type: We do have Both (Permanent/Contract)

Eligibility: Any Graduate/Post Graduate

• Minimum 3 years of relevant experience in Big Data Technologies
• Strong Hands on experience in Hadoop development and Implementation
• Knowledge on data pre-processing as per business requirement using streaming API’s, Pig, Hive and User Defined Functions
• Strong programming knowledge on Spark, Scala and Python
• Must have working knowledge of at least one NoSQL DB (Cassandra, Mongo DB, Hbase, Redis etc.). Graph DB knowledge is an added advantage.
• Hands on in managing Hadoop Job flows using Oozie
• Reviewing and managing Hadoop log files
• Working experience with different file formats like Parquet, Avro, Sequence, ORC etc. to speed up Analytics
• Writing high-performance, reliable and maintainable code in Java, Python and Scala
• Exposure on loading from disparate complex data sets
• Designing, building, installing, configuring and supporting Hadoop
• Assess the quality of datasets for a hadoop data lake
• Fine tune hadoop applications for high performance and throughput
• Troubleshoot and debug any hadoop ecosystem run time issues
• Maintain the privacy and security of hadoop clusters
• Utilize a diverse array of technologies and tools as needed, to deliver insights, such as Python, Scala and R
• Analyze structured/unstructured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistic
• Unix/Linux shell scripting is an added advantage
• Co-ordinate with other teams for resolving the Hadoop issues such as system issues, functional issues, technical issues etc
• Excellent written and verbal communication skills
• Comfortable Client Interfacing
• Excellent Documentation skills

• Hadoop Developer certification (Cloudera/Hortonworks/MapR)
• Spark Certification (Databricks/MapR/Cloudera/Hortonworks)
• Exposure on Integration of Spark with Hadoop ecosystem components and NoSQL technologies
• Exposure on visualization tools like Tableau/Qlikview
• Japanese Language (Preferably) or Any other Foreign Language (if Any ….Pls specify)
• Should be a very good Mentor and should have strong Leadership skills
• Should be good at Attitude, Good at Work habits, Loyal to Organization