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Data Engineer - Remote, Latin America at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Latin America.. As a Data Engineer, you will play a key role in designing, building, and maintaining data pipelines and integration solutions that power critical business decisions. You will work in a fast-paced, collaborative environment, supporting cross-functional teams by ensuring data is accurate, accessible, and optimized for analysis. Your contributions will directly impact the efficiency and reliability of data-driven processes, enabling stakeholders to make informed decisions. This role provides the opportunity to work with modern cloud platforms, large-scale databases, and business intelligence tools, while continuously improving data quality, performance, and accessibility across the organization.. Accountabilities. . Develop, maintain, and optimize data pipelines and integration workflows to support analytics and business intelligence needs.. . Design and maintain data models, ensuring accurate documentation of objects, fields, and relationships.. . Monitor data pipeline execution and performance, triaging and escalating issues as necessary.. . Collaborate with analytics, product, and engineering teams to improve data models, pipeline efficiency, and data accessibility.. . Implement processes for data quality monitoring and validation to ensure reliable production data.. . Perform data analysis to troubleshoot and resolve issues, supporting accurate reporting and decision-making.. . Document processes, contribute to engineering wikis, and write unit/integration tests to maintain system reliability.. . Work within cloud environments (AWS/Linux) and integrate with diverse data sources and platforms.. . . BS or MS degree in Computer Science, Engineering, or a related technical field.. . 3+ years of experience in data pipeline development using tools such as SnapLogic, Datastage, Informatica, or equivalent.. . 3+ years of SQL experience; familiarity with NoSQL databases is a plus.. . Strong knowledge of AWS services including S3, Athena, EC2, EMR, and Glue.. . Experience with database technologies such as SQLServer, Redshift, Postgres, RDS, and multiple RDBMS systems.. . Familiarity with data warehouse design, including star schemas, denormalization, and change data capture.. . Experience with data integration platforms and ETL best practices.. . Knowledge of Agile software development methodologies and IT operations for highly available services.. . Familiarity with Web Services (REST, SOAP, XML) and cloud/SaaS data systems (e.g., Salesforce).. . Experience with BI tools such as Tableau, PowerBI, or GoodData.. . Excellent problem-solving, troubleshooting, and analytical skills.. . Strong oral and written communication skills with a customer-focused mindset.. . Company Location: Venezuela, Bolivarian Republic of.