Data Pipeline Operations Engineer

Noodles Data Engineers have a strong understanding of database structures, modeling and data warehousing techniques; know how to create SQL queries, stored procedures, and views and define best practices for engineering scalable secure data pipelines. Members of our Data Engineering team are passionate about embracing the challenge of dealing with petabytes or even exabytes of data daily.ResponsibilitiesSupport and monitor multiple data pipelines across different customersWork closely with the development team to understand changes to every releaseContribute to the data engineering development work when neededCollaboration with multiple stakeholders including and not limited to the Infrastructure, DevOps, Data Science among other teamsInterface with customer-facing teamsFlexible to work during the weekendsRequirementsGood knowledge of SQL queries (Not limited to PostgreSQL)Experience in data pipeline orchestration tools like AirflowBasic knowledge of Python programming languageBasic understanding of containers and familiarity with docker commandsHave been part of at least one data engineering workVery good debugging skillsExposure to the cloud (preferably AWS)Basic understanding and usage of Jenkins for continuous deploymentUnderstanding of ML model lifecycle and pipelines Noodles Data Engineers have a strong understanding of database structures, modeling and data warehousing techniques; know how to create SQL queries, stored procedures, and views and define best practices for engineering scalable secure data pipelines. Members of our Data Engineering team are passionate about embracing the challenge of dealing with petabytes or even exabytes of data daily.ResponsibilitiesSupport and monitor multiple data pipelines across different customersWork closely with the development team to understand changes to every releaseContribute to the data engineering development work when neededCollaboration with multiple stakeholders including and not limited to the Infrastructure, DevOps, Data Science among other teamsInterface with customer-facing teamsFlexible to work during the weekendsRequirementsGood knowledge of SQL queries (Not limited to PostgreSQL)Experience in data pipeline orchestration tools like AirflowBasic knowledge of Python programming languageBasic understanding of containers and familiarity with docker commandsHave been part of at least one data engineering workVery good debugging skillsExposure to the cloud (preferably AWS)Basic understanding and usage of Jenkins for continuous deploymentUnderstanding of ML model lifecycle and pipelines