Programmer

Description

• End user driven: Collaborate & work with end users to translate business requirements into BI / Analytics solutions
• Data Manipulation / processing: clean, transform, manipulate, merge and engineer data from different sources; handle all types of data (e.g. streaming, structured, unstructured data).
• Coding: contribute to internal and/or external libraries through raising issues, adding documentation and/or contributing new features; write clean, re-usable code in a language that runs in production systems.
• Statistics and Machine Learning: understand and have applied a wide range of statistical or machine learning methods to build data science algorithms (e.g. for forecasts, ranking)
• Carry out advanced data analytics (e.g. correlation, reliability, confidence testing, regression, etc from source data).
• Scalability, Reliability, Maintenance: proven experience in building scalable and re-usable systems and automating operations
• Data Domain Knowledge: understanding of data sources, and data and analytics requirements in the industry, with experience working closely with domain experts in applying data science analytics solutions
• All other related tasks

Requirement

• Must have minimum bachelors degree in Computer science, MIS/IT, Math/Statistics, Engineering or Science discipline;
• Minimum Four (4) years experience in software application development in upstream oil and gas industry;
• Experience in developing cohesive overall design strategy & assess design solutions against user requirements;
• Skilled in one or more object-oriented programming languages (e.g. Python, R, or others); Excel, Power BI and basic web programming (CSS & HTML);
• Skilled in data manipulation / processing: clean, transform, manipulate, merge and engineer data from different sources; handle all types of data (e.g. streaming, structured, unstructured data);
• Familiarity with database and application programming interface, including WITS/WITSML data structures & protocol;
• Familiarity and experienced in SQL;
• Good understanding of software engineering best practices including technical design, version control (using Git), testing, and documentation;
• Knowledge and understanding of modern development methodologies: Agile using Scrum and/or Kanban;
• Have excellent command of English language in both speaking and writing;