Principal Engineer, Data Architect & Analytics (Hybrid - Aguadilla, Puerto Rico)
About The Position
The Global Engineering & Technology Center in Puerto Rico is looking for a Principal Engineer (Data Architect & Analytics) to join our team. We are looking for a strong, passionate problem-solver with an action-oriented, collaborative mindset who strives to exceed expectations. This person will support the Integrated Product Analytics in a Data Architect role. This includes the design and implementation of solutions for data gathering, analyses, and final distribution to end users. This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered. This role is categorized as hybrid , with 3 days onsite and 2 days remote following the schedule assigned by the Manager.
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).
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Nice To Haves
- 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
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
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
