Databricks Data Engineer

The Databricks Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. They'll work with data scientists to prepare and transform data for analytics and machine learning projects, optimize data storage, and ensure data quality. This role involves troubleshooting data pipeline issues and staying up-to-date with the latest Databricks technologies.

Requirements

• Proficient in Databricks Data Engg.
• Knowledge in ETL concepts.
• Proficient in writing SQL queries, performance tuning.
• Knowledge in python script writing.
• Good Communication skill.
• Proven experience in building ETL pipelines and working with large datasets.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.