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Hadoop Developer

2.00 to 10.00 Years   Chennai   13 Feb, 2020
Standard Chartered Bank Ltd
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

*JD for Hadoop.

  • Very good attitude to learn faster and contribute
  • Good team player to collaborate with other members and ready to take ownership of work assigned for timely and quality delivery
  • 5-10 years of overall application design and development experience
  • Banking and Data warehouse experiences are added advantage
  • Minimum 2+ years of experience in Hadoop technologies
  • Presto and Kylin experiences are added advantage
  • Expected to work across application within our Finance and Risk Domain to design, develop, optimize, highly secure and scalable solution
  • Design and develop optimal and highly performing, reusable framework/code, fully automated and highly integrated with high quality deliveries
  • Govern and assure automated deployments across platforms in various SDLC stages align to Devops approaches with high quality deliverables
  • Adopt with Agile methodology in all projects and stringently follow without any deviation
  • Good knowledge and experience in design and develop high availability (DR) Solutions for production implementation
  • Expertise in building applications with fully automated housekeeping capabilities
Mandatory to Have:Languages:
  • Java [ Strong on Data structures and Collections Framework]
  • Understanding on MVC architecture
  • Scala with Spark Framework Hands on
  • Python [basic scripting for automation]
  • Good understanding on Nifi flows
  • XML / Json parsing
  • Very Strong SQL with analytical skill
  • Shell scripting
Dev Ops:
  • GIT
  • Jenkins
  • Maven
  • Ansible
  • Cucumber
  • Sonar Cube
  • Shellshock
  • JaCoCo
Framework:
  • MapReduce V2
  • Spark V2
  • HDFS Filesystem API
  • J2EE [Basics] and Spring
Java Tools:
  • Groovy/Json
  • Drools
Big data stack:
  • Oozie
  • Yarn
  • Hive
  • HBase
  • Kafka
  • Spark
  • JMS
  • Nifi
Good to Have:
  • Kylin
  • Presto
  • Druid
  • Apache Falcon
  • Active Pivot
  • Tableau
  • Ranger
  • Knox
  • Kerberos
  • Wandisco
  • Alluxio
  • Ranger
  • Knox
  • Kerberos
  • HDFS HA configuration
  • Yarn Queue configuration
  • Deeper understanding of Yarn
  • Good understanding of Hot and cold storage configuration
  • Good understanding of Rack aware cluster configuration
  • Strong skill on network trouble shooting and efficient in finding stale Yarn jobs
  • Mysql/Postgres tuning for Hive Meta store
  • Must have experience in Kerberos configuration and integration with all Hadoop configurations
Having the following skills will be an added advantage
  1. Data Warehouse experience in large corporate
  2. Hands on experience with Talend for Big Data
***Should have worked on Hortonworks Flavour of Hadoop.,

Keyskills :
hive hadoop sqoop pig java bigdata filesystem coldstorage shellscripting datastructures mvcarchitecture agilemethodology tatementsofworksow

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