Data Engineer (Azure Databricks)

Nasze wymagania: 5+ years of experience in Data Engineering Strong hands-on experience with: PySpark (DataFrames, optimization techniques); Databricks; SQL Experience with Azure services: Data Factory; Azure SQL / Storage Knowledge of cloud environments (preferably Azure) Strong problem-solving skills and ability to work independently Good communication skills in English (B2+) Mile widziane: Power BI Azure certifications (AZ-900 or similar) Databricks certification O projekcie: We are looking for an experienced Data Engineer with strong PySpark skills to join a large-scale Azure data platform project. You will work in a distributed environment, focusing on building and optimizing data pipelines. Zakres obowiązków: Develop and maintain data pipelines using PySpark and SQL Work with Azure Databricks for large-scale data processing Build and maintain ingestion and data transformation workflows Perform data wrangling and integrate multiple data sources Optimize Spark jobs (DataFrames, partitioning, clustering, SparkSQL) Work with data formats such as Delta, Parquet, and CSV Collaborate with stakeholders across multiple time zones Create and maintain technical documentation Oferujemy: 100% remote work International project environment Modern data stack (Azure + Databricks) Fast recruitment process Long-term cooperation