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At Boeing Digital Services, you’ll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency. The Lead Data Engineer will be responsible for delivery of cutting-edge flight and maintenance data analytics products. As part of an integrated product team the Lead Data Engineer will be part of technical team taking responsibilities on Data Analysis, Data Maintenance and Data product development. This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation, technical strategies and roadmaps for the success of each product and initiative.
Job Responsibility:
Collaborate with team members, PO, Product Managers, Data Scientists in an Agile environment
Research complex or multiple processes, applications, systems and data to identify functional requirements for application or system design
Consult with customers to clarify and refine complex requirements
Interprets and translates complex requirements into functional specifications
Leads and performs activities to develop and execute tests to validate system functionality against specifications
Help design and build scalable, reliable, and high-performance systems and environments
Participate in work and code reviews with the team
Take part in implementation and support of continuous integration and continuous delivery (CI/CD)
Effectively contributes to building the overall knowledge and expertise of the technical team
Think big on the future of our products and work closely with senior developers and tech lead in improving current systems on HA, Scalability, Fault Tolerance, HA, performance and Operation Excellence
Apply your knowledge of cloud services and solutions provided by GCP, Azure or AWS
Requirements:
8+ years of progressive experience in software development and/or data analysis
5+ years of experience with languages like SQL, Python, or R for data manipulation and analysis
Expertise in Data pipeline orchestration tools (Airflow, Azure Data Factory)
Expertise in Database design principles, normalization/denormalization
3+ Working experience with Cloud development
3+ years of experience with production-level Software Development
Must be legally able to work in Canada
Individuals must not pose a risk for safeguarding of controlled goods
Must be eligible to handle US export-controlled data
Nice to have:
Rich domain knowledge on aviation industry
experience on large scale flight data
Maintenance Engineering Data
Databricks platform experience with Spark ecosystem
Experience in Data governance frameworks implementation
Experience in Data quality tools and methodologies
Streaming data technologies (Kafka, Kinesis, Event Hubs)
Experience with cloud-deployed APIs and micro-services
A bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, or a related field
Experience working in a global technology organization and managing many stakeholders
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations