Data Engineer II
What You’ll Do:
What you need to be successful in the role:
Prior Data Engineering experience at a startup, or mid to large sized corp.
Proficient oral and written communication skills.
Prior experience developing or working, with hands on experience building, running and deploying application with Cloud technologies such as Microsoft Azure, Google Cloud Platform.
Ability to learn and adapt new technologies, passion for continuous improvement.
Exposure to continuous build and continuous integration tools.
Ability to deliver in Agile method (Kanban or SCRUM).
Knowledge about containerized cloud applications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with data sets in the cloud.
Data Modeling: Analyzes data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure.
Demonstrates expertise in writing queries across data sets to write data pipelines and data processing layers.
Expertise with Big Data Technologies Hadoop, HDFS, Hive, Spark Scala/PySpark, and SQL.
We’d Love To See:
Option 1: Bachelor's degree in Computer Science or related field. Option 2: 2 years’ experience in software engineering or related field.
Masters: Computer Science
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America