DevOps Engineer

About the Position

We are seeking a skilled DevOps Engineer to design, build, and maintain scalable ETL processes and data solutions using Python, AWS, TypeScript, and SQL/PLSQL. This role will work closely with data analysts, architects, and business stakeholders to ensure high-quality, reliable data pipelines and APIs.

Responsibilities

• Design, develop, and maintain ETL pipelines using Python to extract, transform, and load data from multiple source systems into target data stores.
• Implement and optimize data workflows on AWS (e.g., Lambda, Glue, S3, Step Functions, or similar services) to ensure scalability, reliability, and cost efficiency.
• Develop and maintain RESTful endpoints in TypeScript (e.g., using Node.js frameworks) to support data access, integration, and analytics use cases.
• Write and optimize complex SQL queries and PLSQL functions for data transformation, validation, and reporting.
• Implement testing strategies (unit, integration, regression) for ETL jobs, APIs, and data transformations to ensure data accuracy and system reliability.
• Monitor, troubleshoot, and improve data pipelines and services, including performance tuning, error handling, and root-cause analysis.
• Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical solutions and data models.
• Ensure data quality, governance, and documentation by maintaining clear technical documentation for ETL jobs, APIs, schemas, and data flows.
• Apply data analytics concepts to validate data, support reporting needs, and help derive insights from datasets.
• Follow best practices for security, coding standards, and DevOps in the cloud environment, including version control, CI/CD, and environment management.

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
• Exposure to data analytics and working with large datasets
• Familiarity with version control (e.g., Git) and CI/CD practices
• Good communication skills and ability to work in cross-functional teams

We Offer

• Opportunity to work in a dynamic and innovative environment
• Competitive salary
• Hybrid work model

About the Company

We are a forward-thinking company dedicated to leveraging technology to solve complex data challenges. Our team is passionate about delivering high-quality solutions and continuously improving our processes.

Location: Prague, Czech Republic

Work Type: Hybrid

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Our team will review your application within the next 5 days.

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