Join one of the world’s leading energy solutions providers and discover how you can grow with Yinson no matter where you are in your career.
Yinson is passionate about meeting the world’s energy demands in a sustainable way. To achieve this, we believe in attracting great employees through the creation of a vibrant, progressive workplace that puts people first. We’re always on the lookout for experienced and passionate individuals to be part of the team, working and collaborating effectively to make a difference and create impact with individuals, corporations, governments and the business world.
So what are you waiting for? Join us now!
Who are we?
Yinson is a world leading energy solutions provider. Our business consists of Offshore production, Renewables, Offshore Marine and Green Technology. We have offices and operations in various countries around the world and thus offer a culturally diverse, international environment. We are now hiring in preparation for further growth.This role is responsible for developing methods that transform raw data from different sources into useful, consistent, and machine-readable formats.
This role is responsible for developing methods that transform raw data from different sources into useful, consistent, and machine-readable formats. The candidate will develop and test architectures that enable data extraction and transformation for modeling and analytics, as well as align the data processing systems with business goals; coordinate the efforts required to ensure the infrastructure, technology, and engineering requirements necessary for data analytics, data visualization, and data modeling are established for all phases of the asset lifecycle.
Key Duties and Responsibities:
- Identify opportunities for data acquisition and ensuring captured data is of quality and reliability.
- Prepare data for predictive and prescriptive modelin, interpret trends and patterns.
- Build data systems and pipelines for data analytics, data visualization, and data modeling.
- Coordinate the activities of ensuring data access for dynamic and steady-state simulations.
- Encourage continuous development by offering recommendations in the areas of process improvement and new technologies.
- Provide advice, support, and assistance in the implementation of the Performance Data Management program(s)
- Monitor identified and emerging risks and advise on their prevention, mitigation, and management.
- QHSSE Duties – every employee shall:
o Take care of themselves and others who may be affected by their acts or oversights;
o Not interfere with or misuse anything supplied for their health, safety and welfare;
o Report quality related problems and HSSE hazards or deficits within their area to the QHSSE department;
o Promote and take part in the QHSSE continuous improvement process.
Requirements:
- Degree in Computer Science, Computer Engineering, Information Technology, or related field;
- Minimum 3+ years experience in data engineering, database administration, Azure database, or a similar role;
- Technical expertise with data modeling, data mining, and segmentation techniques;
- Ability to decipher and organize large amounts of data;
- An analytical mindset with excellent communication and problem-solving skills;
- Proficient in the data processing system and pipeline development involving cloud data solutions or databases such as SQL;
- Proficiency in at least one of the programming languages, such as Java or Python;
- Knowledge of Microsoft Azure analytics and data governance services, AWS and other similar big data services is advantageous;
- A data engineering certificate (e.g. IBM Certified Data Engineer) is a plus;
- Experience with using Power BI is an asset.
