Data Engineer (DATABRICKS / PYSPARK)

• Develop and maintain data pipelines for processing large volumes of data in batch and near real-time environments
• Work with Databricks, PySpark, and SQL to transform, validate, and optimize data
• Support implementation of Data Lakehouse solutions following engineering standards and best practices
• Build, test, and automate ETL processes and data workflows
• Improve data quality, organization, and reliability across platforms
• Collaborate with engineers, analysts, and stakeholders to deliver scalable solutions
• Troubleshoot, optimize, and monitor data pipelines
• Stay up to date with modern data engineering technologies
• Ensure deliverables meet quality standards and project requirements
• 2+ years of experience in Big Data development and database design
• Strong hands-on experience with SQL
• Strong Python development skills
• Hands-on experience with PySpark
• Experience developing and maintaining data pipelines in Databricks

• Experience with Medallion Architecture (Bronze, Silver, Gold layers)
• Strong analytical and problem-solving skills
• Intermediate or higher English level

Experience with AWS services, including S3

We are looking for a Middle Data Engineer to join our team and contribute to building scalable data solutions for a leading AdTech and analytics company. In this role, you will work with modern Data Lakehouse architecture, high-load distributed systems, and cloud-native technologies while helping process large volumes o