Data Engineer - Remote, Latin America

Experience with AWS services including S3, Athena, EC2, EMR, and Glue. 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. Collaborates with analytics and business teams to improve data models and data pipelines. Implements processes and systems to monitor data quality. Writes unit/integration tests, contributes to engineering wiki, and documents work. Performs data analysis required to troubleshoot data-related issues. Work within AWS/Linux cloud systems environment in support of data integration solution. Works closely with a team of frontend and backend engineers, product managers, and analysts. Collaborate with team members, share knowledge, and provide visibility of accomplishments.