Principal Engineer Data Architect & Analytics role at Collins Aerospace in Puerto Rico. Focus on data gathering, analysis, and implementation in hybrid working environment.
About the role
- Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations
- Maintain data engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
- Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
- Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all data pipelines
- Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs
- Maintain detailed documentation of your work and changes to support data quality and data governance requirements
- Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for the team
- Collaborate with product managers, architects, and other engineers to drive the success of the Foundational Platform
Requirements
- 5+ years of data engineering experience in software engineering in the data space
- Strong algorithmic problem-solving expertise
- Strong fundamental Scala and Python software programming skills
- Good understanding of AWS or other cloud provider resources (S3)
- Strong SQL skills and ability to creatively problem solve and dive deep into data and software ecosystem
- Hands-on production environment experience with distributed processing systems such as Apache Spark
- Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines
- Scripting language experience (Bash, PowerShell)
- Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go SQL, Python, Scala, other computer software languages
- Willingness and ability to learn and pick up new skillsets
- Self-starting problem solver with an eye for detail and excellent analytical and communication skills
- Master's Degree in Computer Science, Information Systems preferred (Preferred Qual)
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) (Preferred Qual)
- Experience in developing APIs with GraphQL (Preferred Qual)
- Deep Understanding of AWS or other cloud providers as well as infrastructure as code (Preferred Qual)
- Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices (Preferred Qual)
- Familiar with Scrum and Agile methodologies (Preferred Qual)
- Familiarity with privacy regulations and/or data subject rights (Preferred Qual)
Benefits
- Medical, financial, and/or other benefits depending on the level and position offered
- Bonus and/or long-term incentive units may be provided as part of the compensation package
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