Data Engineer (AWS)

TL;DR

Data Engineer (AWS): Building and scaling data pipelines and supporting infrastructure on AWS with an accent on ETL development and data quality validation. Focus on designing AWS Glue jobs, implementing Spark transformations, and leveraging AI-assisted development to accelerate delivery.

Location: Bogotá, Colombia

Company

hirify.global is a premier AI services provider focused on co-creating impact through data science, AI, and technology.

What you will do

• Build and scale data pipelines and supporting infrastructure on AWS.
• Design and configure AWS Glue jobs, Spark transformations, and Python-based ETL pipelines.
• Write and maintain integration tests to validate data movement across raw and staged zones.
• Implement data quality frameworks to ensure reliability, consistency, and performance.
• Collaborate with cross-functional teams to improve data architecture and processes.
• Utilize AI-assisted development tools to accelerate boilerplate code generation and delivery cycles.

Requirements

• 3+ years of experience in Data Engineering.
• Strong experience with the AWS ecosystem (Glue, S3, Athena).
• Hands-on proficiency with Python and PySpark.
• Strong proficiency in SQL.
• Solid experience in ETL development and data pipeline architecture.
• Experience implementing data quality frameworks and validation processes.

Nice to have

• Hands-on experience with Snowflake.
• Experience using AI code generation tools.

Culture & Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business for technical and soft skills.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Career development plans and mentorship programs.
• Flexible working options and company-provided equipment.