Data Engineer - Remote, Latin America

Experience with AWS services including S3, Athena, EC2, EMR, and Glue Ability to solve ongoing issues with operating the cluster Experience with the integration of data from multiple data sources Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar Knowledge of best practices and IT operations in an always-up, always-available service Experience with or knowledge of Agile Software Development methodologies Excellent problem-solving and troubleshooting skills Excellent oral and written communication skills with a keen sense of customer service Experience with collecting/managing/reporting on large data stores Awareness of Data governance and data quality principles Well-versed in Business Analytics including basic metric building and troubleshooting Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports Familiar with Web Services: XML, REST, SOAP Experience with Git or similar version control software Experience with integrations with and/or use of BI tools such as GoodData (preferred), Tableau, PowerBI, or similar Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift Familiarity with SaaS/cloud data systems (e.g. Salesforce) Data warehouse design: star-schemas, change data capture, denormalization SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution BS or MS degree in Computer Science or a related technical field 3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience 3+ years of SQL experience (No-SQL experience is a plus) Experience designing, building, and maintaining data pipelines

Develop and maintain data models for core package application and reporting databases Monitor execution and performance of daily pipelines, triage and escalate any issues Collaborate with analytics and business teams to improve data models and data pipelines Implement processes and systems to monitor data quality Write unit/integration tests, contribute to engineering wiki, and document work Perform data analysis required to troubleshoot data-related issues Work within AWS/Linux cloud systems environment in support of data integration solution Work closely with a team of frontend and backend engineers, product managers, and analysts Collaborate with team members, share knowledge, provide visibility of accomplishments, and follow directions