Senior Big Data Engineer

TL;DR

Senior Big Data Engineer (Data Science/ML): Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, dbt, and AWS services with an accent on data ingestion, transformation, orchestration, and infrastructure automation. Focus on developing high-quality dbt models, implementing CI/CD, and ensuring data quality monitoring in a cross-functional agile environment.

Location: Remote, service region Eastern Europe

Company

hirify.global is a global digital product engineering company with 18,000+ experts across 39 countries, focused on building inspiring products, services, and experiences at scale.

What you will do

• Design, build, and maintain scalable data pipelines using Python/PySpark and AWS services.
• Develop, test, and deploy dbt models with unit tests and clear documentation.
• Build and integrate data connectors (FTP, API, JDBC, etc.).
• Implement data ingestion, transformation, and orchestration workflows using AWS Glue, AppFlow, Lake Formation, Transfer Family, MWAA, or Argo.
• Use AWS CDK for infrastructure-as-code and deployment automation.
• Apply best practices for CI/CD, version control, testing, and data quality monitoring.

Requirements

• Service region: Eastern Europe
• Strong hands-on experience with dbt, Python, and/or PySpark for ETL/ELT development.
• Expertise in building connectors via FTP, API, JDBC, or other integration patterns.
• Solid experience with AWS data services and workflow orchestration tools.
• Experience with Git, CI/CD tools, and automated testing practices.
• Good communication skills and ability to work in cross-functional agile teams.