Data Engineer (Finance)
Overview
We are seeking a full-time Data Engineer in our Cary, NC location. In this role, you will be responsible for contributing to data development and operational stability of the Big Data ecosystems.
Essential Functions
- Provide technical input to feature development plans and concept documents
- Interact/collaborate with business leadership to develop projects from an idea to implemented solution
- Investigate/optimize complex SQL queries used in data loads
- Administer/maintain a container-based Airflow installation
- Participate in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues
- Participate in and help guide research POCs, including design, coding, and performance and efficacy measurement
- Demonstrate broad understanding of Garmin's business model
- Contribute to and triages major incident troubleshooting involving multiple disciplines
- Apply technical expertise and analysis to initiatives and contribute input to broader technology solutions outside of discipline
- Provide 24x7 on call support
- Interact/collaborate with team members to develop projects from an idea to implemented solution
- Deliver business impact through implementation of AI models
- Communicate proactively with team members and product stakeholders in a highly agile environment
- Develop reliable solutions to complex problems which require the regular use of ingenuity and creativity and serve as a leader of change
- Bachelor's Degree in Computer Science, Information Technology, Management Information Systems, Business or related field AND a minimum of 2 years of relevant experience
- Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
- In-depth knowledge of Python
- Experience working with Docker, Kubernetes and Linux systems
- Experience using Hadoop and various components
- Consistently demonstrates quality and effectiveness in work documentation and organization and demonstrates ability to implement new technologies effectively
- Experience with Linux, Git, Regular expressions, SQL, Pandas, Bash, Docker, Airflow
- Ability to programmatically write algorithms
- Strong analytical and problem solving skills
- Knowledge of machine learning frameworks/libraries such as TensorFlow, Keras, PyTorch and Scikit-learn
- Experience with noSQL data storage technologies and data streaming technologies
- Previous experience working in a team environment
- Demonstrate proficient knowledge of secure coding practices
- Experience with recommendation engines
- Passion for data engineering concepts and tools, and willing to devote time towards continued learning
- Experience with Spark or PySpark
- Experience using Hadoop and various components
- Experience with Data Engineering, DevOps, CI/CD technologies
- Experience with open-source LLMs
- Experience with REST API development and frameworks
- Experience with machine learning methodologies and algorithms
Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits
