Remote Data Jobs · South America

• Develop and maintain data pipelines.
• Integrate data from various sources (APIs, relational databases, files, etc.).
• Ensure the quality, reliability, security and governance of the ingested data.

As a Data and BI Analyst for the Stone Partner Program's management team, you will play a fundamental role in supporting the business area by building tools and analyses to improve performance and streamline our program's routines. If you are passionate about data and have the ability to translate it into business intelligence, come and join our team!

The contractor will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems. The contractor will develop and implement machine learning algorithms to solve complex problems. They will design and maintain data pipelines, including transformations and preprocessing. They will conduct data analysis to identify trends and insights.

As a Mid-level Data Quality Analyst, you will play a crucial role in ensuring the integrity and quality of data across our applications and services. You will collaborate with solution architects and business analysts to translate solution requirements into actionable data requirements. Your expertise will help us maintain high-quality standards and drive improvements in our data processes.

Looking for a Senior Data Specialist in Colombia to join our dynamic team for an exciting project with an international client! You will ensure data quality, create dashboards using Power BI, write SQL queries, analyze data for insights, and manage data in cloud systems.

Be part of the Data Engineering team while supporting the Data Science team, where your role involves delivering clean, reliable, and automated data processes that support financial decision-making by building and optimizing data pipelines from multiple source systems into Azure Databricks, ensuring accuracy, scalability, and alignment with enterprise architecture standards.