Data Engineer III.Corporate . PIM - Data Mgt

Job Description

Collects, consolidates and migrates technical data from multiple and different types of sources for capital projects and/or modifications of existing facilities across multiple sectors from oil, gas & power and process & chemicals, to minerals, metals & life sciences. Collects, analyzes, reports, transforms, and disseminates technical data generated in the engineering & design, construction, commissioning, and subsequent handover to operations of capital facilities. Integrates, rearranges and consolidates large volumes of data over many systems, providing a new unified information base for business intelligence.

Develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems.

Responsibilities

• Creates data sets by extracting large amounts of raw data from multiple different operational systems and copying into a data warehouse, application or database system
• Cleans data to identify and remove human, machine or instrument errors, validate records, apply formatting and remove codes that are system specific.
• Transforms data by converting data from its previous forms into a new form that can be placed in a database, using rules, lookup tables, etc.
• Loads cleaned data into target database.
• Recommend and implement ways to improve data reliability, efficiency, and quality. Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
• Ensure that the architecture that is in place supports the requirements of the capital project and the client.
• Develop data set processes for data modeling, mining, and production.
  
  

Qualifications

• Comfortable managing engineering and sensor data for equipment and machines (e.g. pressures, temperatures, flowrates, fluid densities).
• High STEM performer with strong mathematical track record.
• Track record (reference projects from workplace, academia, etc.) working with at least one high-level rapid prototyping language such as R or Python
• Working knowledge of at least one main-stream cloud computing service such as Microsoft Azure or Amazon Web Services (not essential but would be an advantage).
• Strong visualization and presentation layer design skills and appreciation.
• ETL (Extract, Transform, Load) skillset
• Experienced with with database systems, data API's and ETL tools
• Experienced in data modeling and setting up data warehouse solutions
• Working knowledge of operational data tools such as SAP, Oracle, MySQL.
• Competent in high level programming language such as Scala, Java, and C#.
• Experience working with large and complex data sets.
• Experience working with data and features derived from engineering/industrial sources.
• Experience building and deploying machine learning models to solve problems.
  
  

About Us

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.