RDSE Data Engineer, Ring

Amazon

Full-time

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer position at Ring focuses on managing and optimizing data pipelines and infrastructure to support the analytics and operational needs of the company. The role involves working with existing data environments, ensuring high standards in ETL processes, and contributing to the development of next-generation AWS infrastructure. The Data Engineer will collaborate with the Data Science and Engineering team to enhance data collection and analytics capabilities, ultimately driving data-driven decision-making across Ring's business.

Responsibilities

• Assist the Ring Data Science and Engineering team with management of existing environments consisting of Redshift and SQL based pipelines.
• Manage data pipeline creation and updates.
• Perform maintenance tasks on clusters.
• Assist with the management of next-generation AWS infrastructure, including monitoring and troubleshooting.
• Submit code changes based on infrastructure issues that arise.

Requirements

• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting languages (e.g., Python, KornShell).
• 2+ years of data engineering experience.
• Experience with SQL.
• Experience in Unix.
• Experience in troubleshooting data and infrastructure issues.

Nice-to-haves

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
• Experience with ETL tools like Informatica, ODI, SSIS, BODI, Datastage, etc.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience in building or administering reporting/analytics platforms.