Data Engineer (Python, AWS)

TL;DR

Data Engineer (Python, AWS): Designing, building, and maintaining scalable ETL processes and data solutions with an accent on Python, AWS, and TypeScript development. Focus on implementing and optimizing data workflows, developing RESTful endpoints, and ensuring data quality and reliability.

Location: Hybrid in Prague, Czechia

Salary: 65,000–70,000 CZK per year

Company

hirify.global is an IT consultancy firm that delivers innovative software solutions (AI, ML, BI, Web, Automation) to startups, mid-sized, and large corporations across various industries.

What you will do

• Design, develop, and maintain scalable ETL pipelines and data solutions using Python and AWS.
• Implement and optimize data workflows on AWS services (e.g., Lambda, Glue, S3, Step Functions).
• Develop and maintain RESTful endpoints in TypeScript (Node.js).
• Write and optimize complex SQL queries and PLSQL functions for data transformation and reporting.
• Implement testing strategies (unit, integration, regression) for ETL jobs, APIs, and data transformations.
• Monitor, troubleshoot, and improve data pipelines and services, ensuring data quality, governance, and documentation.

Requirements

• Strong hands-on experience with Python for ETL and data processing.
• Practical experience with AWS services relevant to data engineering.
• Solid experience in TypeScript and building RESTful endpoints.
• Strong SQL skills and experience with PLSQL (functions, procedures, performance tuning).
• Experience in testing (unit/integration tests) for code and data pipelines.
• Familiarity with version control (e.g., Git) and CI/CD practices.
• Work format: Hybrid in Prague, Czechia.
• English: B2 required.