Principal Data Engineer designing and implementing data solutions that ensure trust and transparency in supply chains. Collaborating with global teams and mentoring fellow engineers in data practices.
About the role
- Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
Responsibilities
- Perform data analysis using Pandas/Spark packages in Python
- Follow and complete stories/tasks in an Agile Scrum project
- Design, implement, and document CI/CD Pipelines in GitHub
- Coordinate and validate data flow/delivery with data engineering groups
- Administration of analytics and data visualization tools/environments in Databricks
- Perform code review, versioning, and production deployment
- Create visualizations in a knowledge graph tool for delivery to stakeholders
- Implement business concepts using ontology
- Understand context of technical data and how to appropriately normalize data into business metrics
- Collaborate with data governance team to implement a data dictionary
- Automate analyses and data cleaning procedures via administration of workflows
- Research machine learning libraries and algorithms for different analytics tasks
- Implement machine learning experiments and develop new algorithms
- Statistical analysis to quantify completeness and validity of a data source
- Data organization and maintenance in a cloud environment
Requirements
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
- Experience in Cloud solutions
- Communication and presentation skills in English (verbal and written).
- Degree in Software Engineering, or Computer Science
- Data, analytics, and reporting experience; analytical and conceptual thinking skills
- Python coding experience using Pandas and Spark
- Aerospace industry experience
- Mentoring/Coaching experience
- SAP knowledge and experience
- Proficient in Agile methodologies
- Experience using JIRA/ Confluence
- Experience with Databricks, GitHub, AWS S3, Azure Blob Storage
- Experience in Cloud solution, design, and implementation
- Ability to influence stakeholders and to determine acceptable solutions
- Experience navigating competing priorities, achieving the highest level of engagement, and delivering successful outcomes in critical situations
- Collaborative team player who is driven to take initiative and ownership of data, analytics, and reporting, while valuing clarity, consistency and continuous improvement
- Candidates should be able to work within cross-functional teams and effectively represent solutions with senior-level leadership
Benefits
- Medical, dental, and vision insurance
- Three weeks of vacation for newly hired employees
- Generous 401(k) plan that includes employer matching funds
- Participation in the Employee Scholar Program (ESP)
- Life insurance and disability coverage
- Employee Assistance Plan, including up to 8 free counseling sessions.
- And more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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