Senior Data Engineer - Databricks

Requisitos

• Proven experience designing, developing, and managing large-scale data pipelines using Databricks, PySpark, Delta Lake, and SQL
• Strong programming skills in Python and SQL for data processing, transformation, and pipeline development
• In-depth understanding of ETL/ELT frameworks, data warehousing concepts, and distributed data processing
• Hands-on experience with modern DataOps practices, including Git version control, CI/CD pipelines, automated testing, and infrastructure..
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform and their associated data services