🌟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 aSnowflake Developerwith hands-on experience in Snowflake, SQL, and Python.
This role is a great fit for someone who enjoys building and improving data solutions, iscurious and motivated to keep learning, and is looking to continue growing in Snowflake and modern cloud data platforms. We value professionals who aredetail-oriented, care aboutdata 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 afast-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 usingSnowflake, 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 asdbt (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 indata engineering, databases, or data-related roles
Minimum 2 years of hands-on experience working with Snowflake
Strong proficiency inSQL(advanced querying, transformations, optimization)
Experience withPythonfor data processing, automation, or pipeline development
Experience building and maintainingdata 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 likedbt, Airflow, or similaris 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!
