Data Engineer - Integrated Supply Chain
About The Position
Data Engineers build and maintain data systems in support of data analytics and data science activities. The Data Engineer will implement methods to improve data reliability, data quality, and ensure success in data-driven initiatives. This position within Integrated Supply Chain Analytics is responsible for identifying, developing, and executing solutions that support reliable and efficient extraction of data from source systems and loading of that data into analytic platforms. The Data Engineer will help administer data platforms and consult with data analysts and data scientists on process optimization and data quality improvements. At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science/Analytics, MIS, or other related technical field
- Minimum 2 years relevant technical experience required, focused on data collection, utilization, and analysis.
Nice To Haves
- Aviation experience preferred
Responsibilities
- Gain core business understanding of Textron Aviation and aircraft design, operation, and support
- Query, clean, transform, and stage data (ETL/ELT) across on-prem and cloud environments
- Support data analytics and data science activities by implementing, maintaining, and optimizing production ready data pipelines
- Install and update software to ensure data platform continuity
- Administer a CI/CD compliant code repository during development and update activities
- Research and help implement new technologies to support analytics function
- Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities
- Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards
- Plan and execute projects according to established milestones and schedules
- Train users in data & analytic tools and processes per best practices and compliance standards
- Contribute to the resolution of service tickets pertaining to data infrastructure
- Serve as an internal consultant to business leaders by advising on system capabilities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
