Job Opportunities API

Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Contract: Colombia What You'll Architect We are looking for a Snowflake Developer to design, develop, and optimize modern cloud data solutions using Snowflake, SQL, and Python. In this role, you will build scalable data pipelines, support enterprise data platforms, and collaborate with cross-functional teams to deliver reliable, high-performance analytics solutions that enable data-driven decision-making. 🎯 You will be responsible for: Develop, maintain, and optimize data pipelines and transformations using Snowflake, SQL, and Python. Design and implement scalable, secure, and efficient data solutions for enterprise clients. Collaborate with senior engineers, architects, and client stakeholders to deliver high-quality data products. Build and maintain batch and near real-time data pipelines for analytics and reporting workloads. Develop transformation logic using SQL and frameworks such as dbt. Support data ingestion processes through APIs, file-based integrations, and ELT tools such as Fivetran or similar platforms. Perform data validation, testing, troubleshooting, and root cause analysis to ensure data quality and reliability. Optimize Snowflake performance and cost efficiency by applying best practices in workload management and query optimization. Apply modern data modeling principles, governance standards, and pipeline orchestration practices. Participate in Agile/Scrum ceremonies, contributing to sprint planning, estimations, and successful project delivery. Communicate technical progress, risks, and challenges effectively with internal teams and client stakeholders. Continuously contribute to process improvements and the adoption of modern cloud data engineering practices. What You Bring 🎓 Qualifications 4–6 years of professional experience in Data Engineering, database development, or related data-focused roles. Minimum 2 years of hands-on experience working with Snowflake. Advanced SQL skills, including complex queries, performance tuning, and data transformations. Strong experience using Python for data processing, automation, and pipeline development. Experience designing, developing, and maintaining ETL/ELT pipelines. Solid understanding of data warehousing concepts and modern cloud data architectures. Experience integrating data from APIs, flat files, and other ingestion patterns. Experience working in Agile development environments. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Professional proficiency in English . 🌟 What Makes You Successful Experience with dbt, Airflow, or similar orchestration and transformation