General Position Definition :
Projects and Technology’s(P&T) contribution to Shell forms a cornerstone of becoming a world-class investment case. At the core, P&T is an integral part of helping Shell deliver on our purpose of powering progress together by providing more and cleaner energy solutions.
We have a distinct and unique role to play in Shell and our ambition is to be a differentiator that takes Shell back to industry leadership and beyond.
The IT (PTIT) function within Projects and Technology, supports business strategy of its aspired future, portfolio and winning capabilities and enables Shell to beat the competition using reliable and secure IT, develop digital solutions with commerciality, one team and results as its focus.
Digital Development within IT is a delivery Organization, supporting the Digitalization and Computational technology organization in P&T.
The Data Engineer will work alongside Business Analysts / Product Manager & Data Scientists but ideally has experience and strengths in these areas too.
As the Data Engineer, you will take structured, semi-structured and unstructured batch- and real-time data from numerous data sources, perform the relevant data cleansing and preparation, and build pipelines to support ingestion into strategic big data platforms, developing and testing the solutions in close collaboration with the business.
The developer will be responsible for initiating, development & delivery of analytic solutions in an agile fashion to the business to provide insights & improvement to business processes.
Engage directly with customers to design, develop and deploy enterprise application using MATLAB.
Lead design and code reviews of end-to-end customer applications
Perform enhancement, testing and troubleshooting of applications based on the business needs.
Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs.
Write specifications, documentation and user guides for customer applications.
Should have good analytical and problem solving skills.
Proficient knowledge in MATLAB programming is a must.
MATLAB code compilation experience. Industrialize the functional models to create target specific codes.
Must possess hands-on experience on deployment of packages and auto-deploy CTF.
Good to have understanding on MATLAB WebApp Server
Should be familiar with GitHub.
Must have prior experience working MongoDB,
Should have experience on MATLAB Compiler, MATLAB Compiler SDK and Spreadsheet Link.
Should have experience on different Add-On toolboxes in MATLAB (Curve Fitting Toolbox, GUI Layout Toolbox, Global Optimization Toolbox, Image Processing Toolbox, Mapping Toolbox, Neural Network Toolbox, OPC Toolbox, Optimization Toolbox, Parallel Computing Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox)
Perform validation and verification on the model and code to ensure full conformance to customer requirements.
Contribute to the exploration and understanding of new tools and techniques and propose improvements to the data pipeline.
Also, Integrate the operations data platform with analytical tools such as Spotfire, the Data Scientist workbench, the Data Marketplace, etc.
Collaborate with Data Architects, Business partners, Data engineers and Data Scientists to understand data needs to drive key decision making throughout the company
Implementing a solid, robust, extensible data warehousing design that supports key business flows.
Deploy inclusive data quality checks to ensure high quality of data
Invent and simplify business processes to streamline workflows. Build and improve existing processes to ensure data integrity and efficient analyses
Sourcing, analyzing trends, formulating projections, reporting quantitative data, performing ad-hoc analyses and evaluating business initiatives
Experience in dealing with multiple sources of data and different APIs. Will be unifying messy APIs, extracting relevant data and linking it together with our static transit information.