Data Engineer
# Data Engineer **Centelon** · Melbourne VIC 3000 · `On-site` 🕒 **Статус:** *Опубликовано: 6 дней назад* · *Источник: Indeed* --- ### About the Role Job Description Hands on experience in Batch (must) and Streaming (preferable) processing on Cloudera data platform tool-stack: Must have: Hadoop, Spark, HIVE, Oozie and Python/Pyspark as the programming language Preferable: Scala, Hbase, Java, Shell scripting Min 3 years of hands-on project experience on Big Data platform – preferable Cloudera/Hortonworks Min 2 years of Cloud experience – preferable on Azure Min 2 end to end data lake project delivery experience A very clear understanding of data warehousing processes, methodologies and supporting capabilities Be able to propose solutions and clearly articulate pros and cons of various technologies and platforms in the Big Data world To be able to benchmark systems, analyse system bottlenecks. To be able to document use cases, solutions, and recommendations. To have excellent written and verbal communication skills To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines To be able to work in a fast-paced agile development environment. Job Types: Full-time, Permanent Pay: $91,383.00 – $164,767.00 per year Work Authorisation: Australia (Required) Work Location: Hybrid remote in Melbourne VIC 3000
Наблюдалась 2026-09-15, впервые 2026-09-10, найдена на 2 площадках, источник — Indeed.