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Collins Aerospace · 3 days ago

Principal Engineer, Data Architect & Analytics (Hybrid - Aguadilla, Puerto Rico)

United States

Full-time

Hybrid

Lead/Staff

8+ years exp

Collins Aerospace is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. They are looking for a Principal Engineer (Data Architect & Analytics) to support Integrated Product Analytics by designing and implementing solutions for data gathering, analysis, and distribution to end users.

AerospaceIndustrialMilitarySatellite Communication

No H1B

U.S. Citizen Only

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

Qualification

Cloud solutionsPythonData analyticsCI/CD PipelinesAgile methodologiesDatabricksSAPCommunication skillsMentoring experienceCollaboration skills

Required

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)

Preferred

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