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

WILL BE A PLUS

• Experience with AWS services, including S3