IM Data Engineer

Key Skills

Python Programming, SQL, Cloud computing

Job Description

If you are an analytical thinker with passion in crunching data this could be your opportunity to transform, aggregate messy data and unlock the full data potential of data to deliver value through business insights. You will have an opportunity to grow your career in a core Upstream country that continues to deliver on growth, ensuring that our product line remains carbon resilient through the development of new value chain businesses in Malaysia.

Where you fit in

The Data Engineer is responsible for identifying relevant data to be gathered and implementing a solution to do so, including knowledge of where to get the data, how to extract it in the right format, and how to augment the data to support data science/analysis requirements. Able to build a robust, fault-tolerant data pipeline that cleans, transforms, and aggregates un-organised and messy data into databases or data sources. Able to ensure that data flows smoothly from source to destination so that it can be processed.

What’s the role?

The Data Engineer is an expert in SQL development support to the data and analytics IT experts in database design, data flow and data analysis activities. The Data Engineer plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.

The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.

Deep experience in developing enterprise data management strategies including operational data stores, data warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery.

Accountabilities

• Work together with the Solution and Data Architect to design the next generation big data platform to support the digital twin or surface engineering data platform.
• Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with Shell’s strategies.
• Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources.
• Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources.
• Help establish best practices around data governance, data security and privacy (GDPR).
• Work together with the solution and data architect to the define the target data strategy.
• Drives and applies Agile Framework within his/her operating environment. Will take direct reports, when applicable, through Agile Framework and its respective tools.

What we need from you?

We are keen to hear from professionals with the following experiences:

• Bachelor or master degree in information technology, computer science, business administration or a related discipline.
• Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
• Interpretation of data, highly analytical, troubleshooting and problem-solving skills.
• Experience with data architecture and design techniques (local/abstract).
• Experience with API techniques/developments.
• Experience with SQL-based technologies (e.g. MSSQL, MySQL, PostgreSQL).
• Experience with data transformation/blending technology (e.g. Alteryx is preferred).
• Experience with working concepts as data pipelining / data wrangling
• Experience with big data platforms; working with large data sets, large amounts of data in motion and numerous big data technologies.
• Agile Project Delivery techniques (e.g. SCRUM) & experience creating and using a wide range of scrum and agile artefacts and techniques, automated testing, personas, user stories, agile games etc
• Awareness of Agile Framework and its tools such as Visual Studio Team Services (VSTS)