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Data Engineer
2 months ago
- As a key member of the technical team alongside Engineers, Data Scientists and Data Users, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process :
- 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.
- To be successful in this role, you should meet the following requirements: (Must have 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;
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