Lead Skywise Data Engineer
Airbus Group India Pvt LtdJob Description
Lead Skywise Engineer
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, Slate and Ontology definitions.
Experience with other AWS services including S3, DynamoDB, API Gateway, RDS, and VPC.
Qualification:
Bachelor's degree / BTech in Computer Science, Information Systems, or a related field with 6+ 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 LimitedEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
DigitalBy submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
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.
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