Senior Data Engineer (Pyspark)

We are looking for a Data Engineer to design and maintain modern data solutions built on Databricks, PySpark, and Microsoft Azure. The role focuses on developing scalable data platforms and supporting business use cases with reliable data pipelines.✅ Your responsibilities:Design, build, and maintain scalable data pipelinesDevelop data processing and transformation workflowsSupport data ingestion from multiple sources into cloud environmentsEnsure performance, reliability, and data quality across solutionsCollaborate with business and technical stakeholders to translate requirements into data solutionsContribute to documentation and continuous improvement of data processesWork in a distributed team environment, focusing on product and business goals🧠 Our requirements:Minimum 5 years of experience in Data EngineeringStrong hands on experience with PySpark (DataFrames, SparkSQL optimization, partitioning)Practical experience with Databricks and Azure Data FactoryKnowledge of Azure SQL and core Azure services (Storage Accounts, KeyVault, VNET, Application Gateway, Azure Portal)Experience working with Delta, Parquet, and CSV file formatsExperience with CI/CD processesAbility to work independently and solve problems with minimal supervisionStrong written and spoken EnglishExperience with Power BI🌟 What we offer:Work on modern data solutions in Azure and Databricks environmentFlexible working model and stable long term cooperationExposure to international projects and stakeholdersSupport for professional growth and continuous learning