PySpark Data Engineer

Technologies we use

About the project

Your responsibilities

• Design, build, and maintain scalable data pipelines
• Develop data processing and transformation workflows
• Support data ingestion from multiple sources into cloud environments
• Ensure performance, reliability, and data quality across solutions
• Collaborate with business and technical stakeholders to translate requirements into data solutions
• Contribute to documentation and continuous improvement of data processes
• Work in a distributed team environment, focusing on product and business goals

Our requirements

• Minimum 3 years of experience in Data Engineering
• Strong hands on experience with PySpark (DataFrames, SparkSQL optimization, partitioning)
• Practical experience with Databricks and Azure Data Factory
• Knowledge of Azure SQL and core Azure services (Storage Accounts, KeyVault, VNET, Application Gateway, Azure Portal)
• Experience working with Delta, Parquet, and CSV file formats
• Experience with CI/CD processes
• Ability to work independently and solve problems with minimal supervision
• Strong written and spoken English
• Experience with Power BI

This is how we organize our work

This is how we work

This is how we work on a project

Development opportunities we offer

What we offer

• Work on modern data solutions in Azure and Databricks environment
• Flexible working model and stable long term cooperation
• Exposure to international projects and stakeholders
• Support for professional growth and continuous learning

Benefits