Rio Tinto is seeking a Data Engineer Specialist to solve business problems and provide insights for improved decision-making in their borates business by developing state-of-the-art data solutions.
Requirements
- Proficiency in SQL and Python, and Power BI is a must
- Demonstrated experience preparing data for business intelligence
- Ability to write and optimize SQL queries and create efficient data extract/transform/load (ETL) programs and tasks
- Pipeline development, across different data architectures, (transactional, time series, streaming, unstructured) and storage solutions including use of APIs
- Knowledge and skills in one or more of the big data frameworks, i.e., Spark, Hive, Hadoop (desirable)
- Exposure in, or willingness to learn, Palantir Foundry analytics platform
- Proficiency in exploring and manipulating large datasets through applications or programming interfaces
Responsibilities
- Engineer and design complex and efficient data pipelines using Python and SQL
- Ensure best in class processes and techniques to develop and deploy data analytics solutions to the business
- Collect, aggregate, and analyze structured/unstructured data from multiple internal sources and provide patterns, insights, and trends to the business decision-maker
- Utilize Palantir Foundry to flexibly manage and scale data pipelines
- Foster an innovative and 'disruptive' technology culture to identify and drive value-creating opportunities
- Help the broader Rio Tinto Borates function by advising technical complexity of identified opportunities
- Provide training and knowledge transfer to support the deployment and continuity of the analytics products developed
Other
- Ideally, you will have a qualification in mining engineering or an earth science related field, computer science, data science, or related fields
- Experience in the mining industry would be advantageous
- Strong analytical and problem-solving skills to diagnose and logically resolve technical problems
- Flexible work arrangements are possible, but considerable time on site is required
- Software engineering experience desirable
