In this role, you will do:

• Software design, Scala & Spark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment
• Promoting development standards, code reviews, mentoring, knowledge sharing
• Production support & troubleshooting.
• Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring
• Liaison with BAs to ensure that requirements are correctly interpreted and implemented.
• Participation in regular planning and status meetings. Input to the development process – through the involvement in Sprint reviews and retrospectives.  Input into system architecture and design.
• Peer code review

Requirements

To be successful in this role, you should meet the following requirements: (Must have Requirements)

• Spark development and design using Scala 2.10+ or Java development or Python development and design using Java 1.8+.
• Experience with OOP practices and familiarity with design patterns and data structures.
• Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services)
• Sound knowledge on working Unix/Linux Platform
• Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL.
• Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.