Snowflake Data Engineer - Remote & Scalable Analytics

Keyrus; Centro; Presencial; COP 200.836.819 - 301.255.229; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

International projects

Training & certifications

Descripción de la vacante

Keyrus is seeking a Snowflake Developer to design, develop, and optimize modern cloud data solutions using Snowflake, SQL, and Python. You will build scalable data pipelines and collaborate with cross‑functional teams to deliver reliable analytics solutions.

You will work on batch and near real‑time pipelines, perform data validation, and optimize performance and cost. The role requires strong SQL, Python, and English communication in Agile environments.

Formación

• 4–6 years of data engineering experience.
• Minimum 2 years hands-on Snowflake experience.
• Advanced SQL skills for complex queries and performance tuning.
• Python for data processing and pipeline development.
• Experience designing ETL/ELT pipelines.
• Knowledge of data warehousing concepts and cloud architectures.
• Experience integrating data from APIs and flat files.
• Experience working in Agile environments.
• Strong analytical and communication skills.
• Professional proficiency in English.

Responsabilidades

• Develop, maintain, and optimize data pipelines using Snowflake, SQL, and Python.
• Design 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.

Conocimientos

Advanced SQL

Python

Agile development

English proficiency

Herramientas

Snowflake

dbt

Airflow

Fivetran

Descripción del empleo

Keyrus is seeking a Snowflake Developer to design, develop, and optimize modern cloud data solutions using Snowflake, SQL, and Python. You will build scalable data pipelines and collaborate with cross‑functional teams to deliver reliable analytics solutions.

You will work on batch and near real‑time pipelines, perform data validation, and optimize performance and cost. The role requires strong SQL, Python, and English communication in Agile environments.