Job Description

: About the role: We are looking for passionate and professional Data Engineers with experience in engine MRO or component repair to join our team to work in the next generation repair facility with exciting new opportunities to rede : About the role: We are looking for passionate and professional Data Engineers with experience in engine MRO or component repair to join our team to work in the next generation repair facility with exciting new opportunities to redesign and optimize our data architect, implement the use big data and IoT to provide innovative solutions for the future of MRO. Responsibilities: Design and build analytical tools to provide insight to related engineering KPIs not limited to repair yield, repair callout, repair efficiency, repair effectiveness, component reject mode, etc. Based on big data, derive predictive solutions to provide guidance to the business including the forecasting of cost, parts replacement repair, engine workscope, performance, etc. Automate manual processes, optimize data delivery redesigning infrastructure for greater scalability of extraction, transformation and loading of data. Identify, design and implement internal engineering business process improvements that will benefit data collection, Extraction, transformation, loading and analysis. Create and maintain Optimal Data pipeline and architecture to assemble large, complex data sets that meet business requirements. Use Data Analytics to identify trend and propose potential Life Cycle Cost initiative for win-win benefit. Work with other engineering teams to assist with data related technical issues and analysis. Use existing data and engineering knowledge to develop and validate time required to perform a repair. Lead technical discussion with internal and external stakeholders such as Operations, OEM, customer to agree value engineering issues such as yield, rework, time required to repair etc. Requirements: Minimum a Degree in Manufacturing Mechanical Computer Science Engineering Familiar with use of Power BI and Minitab with relevant experiences in programming with VBA, SQL and or C# would be advantageous. Able to code in Python and is familiar with the use of libraries such as NumPy, Pandas, Scikit-learn and Tensorflow. Possess good skills in communication, analytics, statistics, data wrangling and business reporting. Knowledge of component repair processes (e.g. Welding, Plasma, Machining, Coating etc) would be an advantage. Strong problem-solving and quantitative computational skills Meticulous and able to work effectively both independently and in a team Minimally 2 years of experience in a similar capacity in the aviation industry preferred.