Job Description:

Job Description 

Skywise Engineer 

Customer Services Digital Solution is responsible for the delivery of Digital Solutions on Maintenance and Engineering perimeter, internally for Customer Services and externally to airlines, MROs and lessors. Examples of solutions are Health Monitoring for aircraft diagnostic, Predictive Maintenance, heavy maintenance optimization, aircraft ground connectivity solutions for Airbus fleet, electronic documentation… 

About Skywise Engineer 

The skywise engineer would essentially develop quick win solutions on the Skywise platform that would provide immediate value to the end customer. 

The Skywise Engineer is also expected to understand the customer pain points. He / she needs to leverage The domain knowledge / understanding of the Airline operations (maintenance, ground operations etc) in capturing the requirements. 

The Skywise Engineers would then work on the big data collected from the aircrafts per flight from various Airlines. Using the data exploration / manipulation and visualization techniques, the Skywise engineers provide deep insights into the Airline data, by developing algorithms. 

Main Responsibilities:

• Interact with and work collaboratively with product teams 

• Analyze and organize raw data 

• Build data systems and pipelines

• Evaluate business needs and objectives

• Interpret trends and patterns

• Conduct complex data analysis and report on results 

• Combine raw information from different sources

• Explore ways to enhance data quality and reliability

• Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform. 

• Collaborate with peers from other teams to deliver best in class solutions (workflows, small apps, and dashboards) to end users in the airlines.

• Strong airline domain knowledge to engage with airline end users to articulate the pain points / business requirements of the airline end-users.

• Create a repository of solutions developed. 

 

Required Skills:

• Expertise in data analysis methodologies and processes and their linkages to other processes

• Technical expertise with data models, data mining, and segmentation techniques

• Advanced SQL skills and experience with relational databases and database design. 

• Strong knowledge on Python, PySpark

• Experience with integration efforts (packaged and customized applications) from a data analysis perspective

• Strong business analyst skills, able to work with many different stakeholders to elicit and document requirements

• Solid customer service skills and interpersonal skills. 

• Critical thinking skills and attention to detail.

• Good judgment, initiative, commitment and resourcefulness

• Proficient with Skywise platform and tools e.g. Contour, Code-Workbook, Code,Slate and Ontology definitions. 

• Experience with other AWS services  including S3, DynamoDB, API Gateway, RDS, and VPC.

Preferred / Good to Have:

• Machine Learning & AI: Experience in developing and deploying ML models (e.g., Scikit-learn, TensorFlow, or PyTorch) to support predictive maintenance, anomaly detection, or fuel optimization.

• Statistical Modeling: Understanding of advanced statistical methods for trend analysis and forecasting.

 

Qualification:

• Bachelor's degree / BTech in Computer Science, Information Systems, or a related field with 5+ years of experience

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Permanent

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Experience Level:

Professional

Job Family:

Digital <JF-IM-DI>

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.