Data Engineer

• Creating predictive and prescriptive models that could have a positive impact on the business.
• Driving all data analytics activities ranging from conceptualisation, visualisation to operationalisation.
• Performing statistical analysis on historical data to validate models.
• Working across stakeholders to identify and capitalise on opportunities to leverage data to drive business solutions.
• Developing scripts to process structured and unstructured data.
• Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
• Supporting translation of data business needs into technical system requirements.
• Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
• Implementing real-time analytics use-cases on the Hadoop ecosystem.
• Providing expertise on the various components & features of the Hadoop ecosystem (such as Spark, Map/Reduce, YARN, Hive, Pig, Impala/Drill etc.).
• Designing and setting up Hadoop cluster in line with current and future needs.
• Development and troubleshooting on Hadoop technologies.
• Monitoring Hadoop cluster for performance and capacity planning.

• You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or related field.
• You have at least 2 years experience, ideally within a Data Engineer or Data Scientist role.
• Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
• Ability to write and execute complex queries in SQL.
• You possess strong analytical skills and are comfortable dealing with numerical data
• You are highly goal driven and work well in fast paced environments
• You are a strong team player who can manage multiple stakeholders

• Leadership Role
• Flexible working options
• Opportunity to make a positive impact

Hubwork