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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.
Job Responsibility:
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.
Requirements:
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.
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.
Bachelor's degree / BTech in Computer Science, Information Systems, or a related field with 5+ years of experience