
Senior Data Developer
Posted Aug 27

Posted Aug 27
This is a fully remote position, open to applicants in Colombia.
• Contributes to existing code repositories by enhancing and upholding code in accordance with established patterns and conventions.
• Adheres to Git best practices, which include branching, commit hygiene, code reviews, and merge procedures.
• Clearly and consistently communicates progress, obstacles, and technical decisions with the broader team.
• Collaborates within a larger cross-functional team that is responsible for the overall success of each project.
• Constructs data pipelines that feed downstream applications and AI agents by integrating and transforming data from sources such as Google BigQuery and SAP.
• Develops and maintains ETL/ELT processes to ensure reliable and accurate data flow between systems.
• Designs and maintains database structures that support both operational and analytical workloads.
• Builds and enhances front-end interfaces for internal applications, including a SaaS solution for forecasting and inventory management.
• Develops backend features and administrative functionalities that support daily application operations.
• Constructs and maintains scheduled cron jobs to automate recurring application or data processes.
• Aids in machine learning model development for computer vision and forecasting.
• Assists in preparing data and features required for training and evaluating models.
• Proven experience in contributing to and extending existing code repositories within a team setting.
• Strong understanding of Git and collaborative version control practices.
• Excellent communication skills, with the ability to work closely with a distributed team.
• Expertise in at least one of the following areas, with familiarity in others: database development and SQL, front-end/application development, ETL and data pipeline development, or machine learning.
• Willingness to engage in a variety of tasks as defined by the team, rather than being confined to a single fixed role.
• Experience with Google BigQuery, SAP, or similar enterprise data platforms is advantageous when relevant to assigned tasks.
• Background in SAP integrations.
• Experience building or maintaining SaaS-style applications (such as forecasting, inventory management, or similar).
• Experience in machine learning, specifically for computer vision or time-series forecasting.
• Familiarity with scheduled/automated jobs (cron) and lightweight administrative tools.
• Experience in supply chain, manufacturing, logistics, or procurement contexts.
• Premium Healthcare.
• Meal voucher.
• Maternity and Parental leaves.
• Mobile services subsidy.
• Sick pay and Life insurance.
• CI&T University.
• Colombian Holidays.
• Paid Vacations.
Commonland
FCamara Consulting & Training
Corndel
Mitsubishi Electric Power Products, Inc.
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