Global RelayJoining the Reporting product line, you would work as a member of a small, highly focused team, responsible for delivering backend services for a highly scalable reporting and analytics platform, using leading edge technologies.
This is an opportunity to work in an environment that encourages creative thinking and autonomy. We encourage our developers to think beyond a single component to build complete system solutions. Challenge yourself by learning new technologies, and apply your skills across our different projects and application domains. If you are committed to code that is clean, well-tested, well-reviewed, performant and secure then you'll fit in around here.
Micro-services Container Platforms (OpenShift, Kubernetes, CRC, Docker)
File formats (Avro, Parquet, Orc)
Large scale data processing (Kafka)
Large scale data platforms (Hadoop, Trino, Spark)
Dependency injection frameworks (Spring, Guice)
CI/CD Build tools (Maven, Git, Jenkins)
Vert.x
Text search engines (Lucene, ElasticSearch)
Develop ETL and ELT jobs and processes
Support data analysis and design efforts within the wider team
Migrate existing services to microservices, with the goal of reducing complexity at the design and architecture level
Write unit and integration tests for your Java code
Collaborate with testers in development of functional test cases
Develop deployment systems for Java based systems
Collaborate with product owners on user story generation and refinement
Monitor and support the operation of production systems
Participate in knowledge sharing activities with colleagues
Pair programming and peer reviews
Minimum 8 years of Java development experience in an Agile environment, building scalable applications and services with a focus on big data solutions and analytics
7+ year experience in developing ETL / ELT processes using relevant technologies and tools
Experienced in working with data lakes and data warehouse platforms for both batch and streaming data sources
ANSI SQL experience or other flavours of SQL
Experience of unstructured, semi-structured and structured data processing A good understanding of ETL/ELT principles, best practices and patterns used
Experienced in some big data technologies such as Hadoop, Spark and other Apache platform products
Passion for Test Driven Development
Exposure to data visualisation and Business Intelligence solutions
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