One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. At this time, we are seeking a Data Engineer.
Job Responsibilities
- Collaborate with cross functional teams working on data to design, build, automate and scale our business processes.
- Build both batch and real-time update processes to keep the data assets in sync.
- Work together with the Data Platform team to leverage existing data assets and to drive the creation of additional data assets.
- Leverage cloud technologies to host, manage and monitor multiple database systems.
- Develop, deploy, and sustain scalable, secure ETL processes.
Requirements
- 3+ years’ experience as a data engineer or experience working on data engineering projects/platforms.
- Experience architecting, configuring, and designing data structures, curating data, troubleshooting, monitoring, and coordinating defect resolution related to ETL processing.
- Strong programming experience with Python.
- Familiarity in code versioning tooling (SCM).
- Capable of tuning databases, SQL queries to meet or exceed performance objectives.
- Experience with RDBMS technologies (MS SQL, PostgreSQL, Oracle, etc.).
- Proven team player with the ability to manage multiple projects simultaneously in a fast-paced dynamic agile work environment.
- Bachelor of Science in Computer Science, Computer Engineering, Software Engineering, or related experience.
- Ability to travel up to 10%.
- US Citizenship Required.
Preferences
- Experience with knowledge graphs/graph database technologies (Neo4j, ArrangoDB, etc.).
- Familiarity with at least one cloud provider such as AWS, GCP, or Azure.
- Experience in design and implementation of robust and highly scalable data services
- Working knowledge building data pipelines using Argo, Airflow or Spark
- Understanding of distributed and parallel computing architectures