At least 5 years experience as a Senior or Lead Data Engineer
Proven and demonstratable experience of Python AWS and SQL/ Oracle
Bachelors honours degree preferably in computer science or engineering field or demonstrable technical experience in a related engineering discipline
At least 3 years of ETL experience using flat files to transposed Data Models
Experience in troubleshooting and debugging Python SQL (Oracle & other SQL platforms) SNS SQS Kinesis C AWS Lambda
Strong Data Mining and Analytical skills required to encode sophisticated business transformation logic in a pipeline and serve predictive models
Familiarity with the design development and maintenance of best-in-class BI
capabilities including data warehouse data structures and data pipelines (Redshift
Athena etc)
Familiarity of architectural design patterns for micro-services leveraging relational and big data technologies
Familiarity with Agile development process
Exceptional analytical thinking ability ease with quantitative analysis and excellent
problem-solving skills
Self discipline and willingness to learn
Ability to make connections with technical and non-technical stakeholders
Excellent verbal and written communication skills
Desirable
Previous experience of managing a team
Domain knowledge or experience working within the maritime or an adjacent industry
Previous experience using C# C and JAVA
Experience of streaming or real-time processing at high data volumes
Familiarity of architectural design patterns for micro-services leveraging relational
and big data technologies
Demonstrable experience working with Big Data environments
Experience of the SAS Analytics platform of particular interest