Overview
On Site
Full Time
Skills
Analytics
Reporting
Data Science
Collaboration
Leadership
IDEA
SQL
Software Development Methodology
Research
Business Model
Computer Science
IT Management
Information Systems
Apache Kafka
PySpark
Docker
Kubernetes
Linux
Documentation
Star Schema
Data Warehouse
Data Engineering
Product Support
Manufacturing
Logistics
Apache Hadoop
NoSQL
Elasticsearch
Amazon S3
Apache Cassandra
Job Details
Overview
We are seeking a full-time Data Engineer 2 in our Olathe, KS Support Center location. In this role, you will support Garmin's Operations team by transforming raw operational data into curated analytics datasets, which will drive reporting and Data Science activities.
Essential Functions
Basic Qualifications
Desired Qualifications
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
We are seeking a full-time Data Engineer 2 in our Olathe, KS Support Center location. In this role, you will support Garmin's Operations team by transforming raw operational data into curated analytics datasets, which will drive reporting and Data Science activities.
Essential Functions
- Provide technical input to feature development plans and concept documents
- Understand production and operations issues as they relate to engineering
- Interact/collaborate with business leadership to develop projects from an idea to implemented solution
- Design/create SQL tables for data warehouse using star schema principles
- 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
Basic Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Management Information Systems, Business or related field AND a minimum of 1 year relevant experience
- Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
- In-depth knowledge of Airflow, Kafka, and pySpark
- 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
Desired Qualifications
- Outstanding academics (cumulative GPA greater than or equal to 3.5)
- Deep knowledge of star schema modeling and other data warehousing concepts
- Passionate about data engineering concepts and tools, and willing to devote time towards continued learning
- Humble and let's results speak for themselves
- A strong team player that cares about collective team success
- Undeterred by hard work
- Drive to understand the business units supported, Product Support, Product Quality, Manufacturing and Logistics teams
- Experience with Hadoop, NoSQL, ElasticSearch, OpenSearch, S3 and Cassandra
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.