Data engineer senior

Descripción del cargo

Data Engineer Senior?
Requirements
Must Have
Proven experience as a Data Engineer with a strong background in Apache Spark, Terraform, Microsoft Azure (ADF, Azure Data Lake), Python, and dbt.
Proficiency in SQL with experience in data modeling and database design for large-scale systems.
Experience implementing data migrations in cloud environments.
Hands-on experience with Snowflake as a data platform.
Experience working with CI/CD pipelines and Infrastructure as Code (IaC) practices.
Familiarity with data governance, data privacy regulations, and security best practices.
Advanced analytical and problem-solving skills, with the ability to design efficient, scalable, and secure data solutions.
Experience using version control systems such as Git.
Ability to work effectively in fast-paced, cross-functional environments, with strong communication skills and structured execution.
Responsibilities
Design, build, and optimize data pipelines and data solutions using Spark, Python, and dbt.
Implement and support data migrations to Microsoft Azure Cloud environments.
Develop and maintain data workflows using Azure Data Factory and Azure Data Lake.
Integrate and manage data solutions using Snowflake.
Implement and maintain CI/CD pipelines for data engineering workflows.
Apply Infrastructure as Code practices using Terraform.
Ensure data solutions comply with governance, security, and privacy standards.
Collaborate with cross-functional teams to deliver scalable and reliable data solutions.

Required Languages
English – Advanced (80–95%)

Location
Bogotá, Colombia
Hybrid (Bogotá & surrounding areas) / Remote (rest of Colombia).