Master Data Developer (AWS)

TL;DR

Master Data Developer (AWS): Designing, building, and optimizing scalable data pipelines and lake architectures for large enterprises with an accent on distributed data processing and cloud-native AWS services. Focus on implementing robust ETL/ELT processes, refining partitioning strategies for data lake storage, and migrating legacy RDBMS workloads to cloud environments.

Location: Remote (Colombia)

Company

hirify.global is a global technology company helping large enterprises transform AI potential into real business impact through tech-integrated solutions and AI-native execution.

What you will do

• Design, build, and maintain robust ETL/ELT processes to ingest and transform data across a modern Data Lake architecture.
• Develop and optimize distributed data processing workflows using Python and PySpark for large-scale datasets.
• Write and optimize complex SQL queries and migrate data pipelines from legacy RDBMS platforms to cloud-native environments.
• Manage AWS-native services including Glue (Jobs, Catalog, Workflows), Athena, Redshift, S3, and Lambda.
• Collaborate with DevOps to provision and manage data resources using IaC tools like CloudFormation, CDK, or Terraform.
• Ensure data integrity and implement observability frameworks to monitor pipeline health and SLAs.

Requirements

• Must be based in Colombia.
• English: Advanced/Fluent (C1).
• Strong proficiency in AWS, Python, and PySpark for distributed data processing.
• Deep understanding of SQL, including CTEs, window functions, and aggregations.
• Hands-on experience with AWS Glue, Athena, and Redshift.
• Solid understanding of Data Lake architectures and object-oriented programming (OOP) principles.

Nice to have

• Experience with open table formats such as Delta Lake or Apache Iceberg.
• Knowledge of TypeScript.
• Practical experience with Infrastructure as Code (IaC) tools.
• Familiarity with SageMaker AI, ECS, RDS, DynamoDB, and EventBridge.
• Experience using Pandas for data manipulation.

Culture & Benefits

• Fully remote work environment (Homeoffice).
• Opportunity to work in an AI-native execution culture.
• Collaborative international environment with teams across 25+ countries.
• Focus on continuous innovation and technological transformation.