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Snowflake Developer

Work from home Full-time role Hiring

🌟Join KEYRUS and transform the future with us! 🌟 Who are we? At Keyrus, we are passionate about innovation and technology. We are a French company with over 28 years of experience, present in 26 countries and with more than 3,500 consultants worldwide. In Colombia, we have been leading solutions in digital experience and data intelligence for 8 years, helping companies evolve in the digital age. 🌍Do you like dynamic and challenging environments? Keyrus is looking for a Snowflake Developer with hands-on experience in Snowflake, SQL, and Python. This role is a great fit for someone who enjoys building and improving data solutions, is curious and motivated to keep learning, and is looking to continue growing in Snowflake and modern cloud data platforms. We value professionals who are detail-oriented, care about data quality and performance, and feel comfortable collaborating with others in a team environment. We’re looking for someone who is adaptable, proactive, and excited to be part of a fast-paced consulting environment, where they can contribute, learn from others, and make an impact. What you will do: Develop, maintain, and optimize data pipelines and transformations using Snowflake, SQL, and Python Support the implementation of scalable and efficient data solutions for enterprise clients Work closely with senior engineers, architects, and client teams to deliver high-quality data products Build and maintain batch and near real-time data pipelines for analytics and reporting use cases Develop transformation logic using SQL and frameworks such as dbt (nice to have) Support data ingestion processes using APIs, file-based ingestion, or ELT tools (e.g., Fivetran or similar) Perform data validation, testing, and troubleshooting to ensure data quality and reliability Contribute to performance optimization and cost efficiency in Snowflake workloads Apply best practices in data modeling, data governance, and pipeline orchestration Collaborate in Agile/Scrum environments, contributing to sprint planning and delivery Communicate progress and technical challenges clearly with internal teams Do you have what we are looking for? Requirements: 4–6 years of experience in data engineering, databases, or data-related roles Minimum 2 years of hands-on experience working with Snowflake Strong proficiency in SQL (advanced querying, transformations, optimization) Experience with Python for data processing, automation, or pipeline development Experience building and maintaining data pipelines and ETL/ELT processes Good understanding of data warehousing concepts and modern data architecture Experience with data integration patterns (APIs, flat files, streaming is a plus) Familiarity with tools like dbt, Airflow, or similar is a plus Experience working in cloud environments (AWS, Azure, or GCP) is a plus Exposure to working with cross-functional teams or client-facing projects is a plus Strong problem-solving and communication skills Experience working in Agile environments Highly valued / nice to have Snowflake certifications (SnowPro Core or similar) Experience with Snowpark, Streams & Tasks, or other advanced Snowflake features Exposure to BI/reporting tools Consulting experience or stakeholder interaction We want you to feel part of Keyrus from the very beginning! 🤝 Why Keyrus? We are a Great Place to Work 🏆 At Keyrus we work 100% remotely, with the possibility of 10-20% travel depending on the position 🌐 We offer a challenging environment, where you will work with cutting-edge technologies in the world of consulting 💡 We have competitive benefits and multiple opportunities for professional growth📈 Join us at Keyrus! 🌟 If you want to know more about the company, we invite you to visit our website: https://keyrus.com/latam/es/home Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team. See you in the process!

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