Senior Data Developer (Data Engineering)

Location: Colombia; remote home office

Company

hirify.global helps large enterprises transform AI potential into business impact through AI deployment, application modernization, Data & AI, Martech, and technology-integrated business solutions.

What you will do

• Design and develop scalable data pipelines and infrastructure for large data volumes.
• Build and maintain Data Lake and Data Warehouse solutions for global clients.
• Create and optimize dimensional data models for analytical use cases.
• Implement data quality practices across the data lifecycle.
• Establish data governance processes, including cataloging and lineage tracking.
• Configure and manage CI/CD pipelines for ETL processes while collaborating with cross-functional teams.

Requirements

• Advanced English communication skills in reading, writing, and speaking.
• Experience working with international clients and modern data stacks.
• Strong coding experience with Python and hands-on experience with Snowflake and dbt.
• Experience with Azure cloud environments, SQL, and/or Spark, including Apache Airflow and Dataform.
• Expertise in data quality, dimensional data modeling, and Data Lake/Data Warehouse solutions.
• Knowledge of data governance principles and CI/CD pipelines for ETL processes; experience with Azure Data Factory, Azure DevOps, data cleansing, transformation, and integration.

Nice to have

• Snowflake experience.
• Python experience.