This role requires working in alignment with UK hours (8/9 AM to 4/5 PM).As the Data Operations Engineer, your main mission will be to define and deploy data ingestion pipelines that normalize and transform customer data to allow business intelligence analysts, machine learning engineers and data scientists to gain insight from their analytics and research. The Data Operations Engineer will create automated tests to ensure data meets quality standards and routinely work with our Product Development Team, handling requests and configuring connections to our predictive platform. The ideal Data Operations Engineer has a healthy drive to collaborate, gather feedback, and tackle challenges through testing and learning. Responsibilities: Manage the end-to-end setup of our customers' data: from raw data sources to data ingestion pipelines and connections to our predictive platformAnalyze and validate customer data from ingestion to productionMonitor all data update processes and outputs to ensure quality and uptimeCollaborate with other members of the Data Analytics Program and with the Product Development Team to discuss new use cases or help identify and fix data issuesDevelop and maintain proprietary technical documentationSolve day-to-day customer data challenges Requirements: BS/BA degree in Engineering, Computer Science, Information Technology, or a related technical fieldProficient with SQL and experience with SQL database design in a business setting1+ years' experience with data models, data quality assurance, and ELT/ETL systemsExcellent numerical and analytical skillsAdditional Ideal Experience Experience with AWS, Python scripting and Notebooks, Sigma, Fivetran, dbt and Snowflake in a business settingFamiliarity with data science and machine learning conceptsFamiliarity with the Agile Scrum frameworks and Product Management tools such as Atlassian Jira and ConfluenceWhy work for Launchpad? 100% remotePeople first cultureExcellent compensation in US DollarsHardware setup for working from homeWork with global teams and prominent brands based in North America, Europe, and AsiaTraining allowancesPersonal time off (PTO) for vacations, study leave, personal time, etc....and more!
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