We are looking for an experienced Data Engineer to play a pivotal role in developing and implementing a comprehensive data platform for GES business. The successful candidate will have a proven track record of building integrated data tools and platforms to support global businesses. This fast-paced, results-oriented role will involve developing the platform to support key decisions for Global Engineering Services. You will work closely with Engineering, Product and Technical Program teams as you develop forward-looking architecture and build strategies to complement the revolutionary GEIST vision.
In this role, you will have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.
Key job responsibilities
Design, implement, and support data warehouse/ data lake infrastructure
using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation,
EMR/Spark, Athena etc.
• Develop and manage ETLs to source data from various systems and create
unified data model for analytics and reporting.
• Creation and support of real-time data pipelines built on AWS technologies
including EMR, Glue, Redshift/Spectrum and Athena.
• Continual research of the latest big data technologies to provide new
capabilities and increase efficiency.
• Manage numerous requests concurrently and strategically, prioritizing
when necessary
• Partner/collaborate across teams/roles to deliver results.
About the team
The GEIST team serves as the software solution team to all Global Engineering needs, working with its customers to set a consolidated Tech strategy, and prioritizing investments to best serve their needs and our bottom line. The GEIST team is responsible for the sustainment of a large product suite ranging from Planning & Forecasting applications to robust in-flight management of field execution users. These systems are leveraged by several thousand internal and external users around the globe.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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