Event Streaming Architect and Integration Specialist

Job Details:

• Total 12+ years experience in IT Software industry as event streaming architect and integration architecture.
  
• Relevant Experience in implementation of the enterprise messaging / streaming platform on Confluent Kafka in banking domain is must.
  
• Understanding on big data platform (Cloudera-Hadoop Stack Tech.)
  
• Architect-ed the applications and integration on Confluent Kafka
  
• Developed the monitoring capability on Confluent Kafka for all running business process.
  
• Use ELK / Splunk to ingest, process and analyze the real time data streams and also for big data for alerts, reports and visualizations
  
• Responsible for preparing project charter, monitor and track progress, status report, resolving the issues and team co-ordination to complete the project goals on time.
  
• Possess great people skills, collaboration of skills and work well with engineering team and business.
  
• Enthusiastic to learn new technologies and get cross-skilled on multiple platforms
  

Technical Requirements:

• Streaming: Expertise on Confluent Kafka, Apache Kafka, Apache Spark, Scala, Confluent Kafka KSQL Complex Event Processing Platform
  
• Big data Stack: Hadoop/Spark/Hive/Hbase/Sqoop
  
• Observability and monitoring: ELK, Splunk
  
• Expertise on Application Integration
  
• Messaging, orchestration and transformation: Confluent
  
• Programming Language/Framework: Java/Spring Boot
  
• Cloud: Azure, AWS
  
• Web Technologies: Micro-services, Hibernate, Web Services, JPA, DBC, XML, SOAP, REST Web Services, JAXRS,JAX-WS
  
• App/Web: Servers Apache2.2, JBoss 6.0, Tomcat 6.0
  
• Databases: Oracle 9i/10g, MSSQL, MySQL, PostgreSQL, CouchDB, Mongodb
  
• Development Tools: Eclipse, Maven, Jira, Jenkins, Docker, Kubernetes
  
• Source Versioning: SVN, GitHub, SourceTree
  
• Frameworks: Spring Boot, Spring 3.0, Struts, Hibernate
  
• Methodology: Agile/Scrum methodology, SDLC
  
• Cloud Computing: MS Azure and Resources, AWS, Azure Administration, Azure Data Platform
  
• OS: Windows, Linux
  

Technical Requirements:

• Streaming: Expertise on Confluent Kafka, Apache Kafka, Apache Spark, Scala, Confluent Kafka KSQL Complex Event Processing Platform
  
• Big data Stack: Hadoop/Spark/Hive/Hbase/Sqoop
  
• Observability and monitoring: ELK, Splunk
  
• Expertise on Application Integration
  
• Messaging, orchestration and transformation: Confluent
  
• Programming Language/Framework: Java/Spring Boot
  
• Cloud: Azure, AWS
  
• Web Technologies: Micro-services, Hibernate, Web Services, JPA, DBC, XML, SOAP, REST Web Services, JAXRS,JAX-WS
  
• App/Web: Servers Apache2.2, JBoss 6.0, Tomcat 6.0
  
• Databases: Oracle 9i/10g, MSSQL, MySQL, PostgreSQL, CouchDB, Mongodb
  
• Development Tools: Eclipse, Maven, Jira, Jenkins, Docker, Kubernetes
  
• Source Versioning: SVN, GitHub, SourceTree
  
• Frameworks: Spring Boot, Spring 3.0, Struts, Hibernate
  
• Methodology: Agile/Scrum methodology, SDLC
  
• Cloud Computing: MS Azure and Resources, AWS, Azure Administration, Azure Data Platform
  
• OS: Windows, Linux