PySpark Data Engineer

We are looking for a Data Engineer to design and maintain modern data solutions based on Databricks, PySpark, and Microsoft Azure. The role focuses on building scalable data platforms and delivering reliable data pipelines to support business needs. ✅ 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 • 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 with a focus 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 • Experience with CI/CD processes • Ability to work independently and solve problems with minimal supervision • Strong written and spoken English • Experience with Power BI 🌟 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