Hadoop,Spark Data Engineer/ Consultant Specialist

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 reviews

Requirements

Scala development and design using Scala 2.10+ or Java development and design using Java 1.8+.
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.
Understanding of big data modelling techniques using relational and non-relational techniques
 Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects;
 Experience with time-series/analytics dB’s such as Elastic search.
 Experience with scheduling tools such as Airflow, Control-M.
Understanding or experience of Cloud design patterns
Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.
Experience with developing Hive QL, UDF’s for analysing semi structured/structured datasets