Data Engineer Australia based 100 Remote
Data Engineer Australia based 100 Remote
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Job Description
Overview:
Key Responsibilities:
- Work across all aspects of data from engineering to building sophisticated visualizations machine learning models and experiments
- Analyze and interpret large (PBscale) volumes of transactional operational and customer data using proprietary and open source data tools platforms and analytical tool kits
- Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives
- Be part of a fastpaced industry and organization where time to market is critical
Required Qualifications:
- Degree in a quantitative discipline such as Mathematics/Statistics Actuarial Sciences Computer Science Engineering or Life Sciences
- 35 years of fulltime work experience in an Analytics or Data Science role
- A selfdriven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software data models and programming languages
- A natural curiosity to identify investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
- A passion for Emerging Technologies related to Blockchain Machine Learning and AI.
- Competency in two or more of the following:
- An analytical software (e.g. R SAS)
- A data visualisation tool (e.g. Qlikview Tableau PowerBI)
- A relational or graph database management tool (e.g. SQL NoSQL Neo4J)
- Programming (e.g. VBA C Java Python)
java,programming,data analysis,scalable data pipelines,data engineering,sql,proprietary data tools,visualizations,analytical tool kits,database management tool,machine learning,etl,big data,analytical software,blockchain,ai,data visualization tool,python,data infrastructure,data modeling,machine learning models,emerging technologies,c++,data warehousing,open source data tools
Employment Type
Full Time
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
