

Databricks Data Engineer
Here is the job description:
• 10-12 years of experience in IT Industry.
• Designing, developing, and maintaining data pipelines for ETL (Extract, Transform, Load) processes and other data processing workflows.
• Implementing and optimizing Spark jobs, data transformations, and data processing within the Databricks environment.
• Working with Delta Lake tables to optimize data storage and query performance.
• Writing, testing, and deploying code for data solutions, ensuring they are high-performance and scalable.
• Ensuring data quality, integrity, and security across various data sources and Databricks solutions.
Here is the job description:
• 10-12 years of experience in IT Industry.
• Designing, developing, and maintaining data pipelines for ETL (Extract, Transform, Load) processes and other data processing workflows.
• Implementing and optimizing Spark jobs, data transformations, and data processing within the Databricks environment.
• Working with Delta Lake tables to optimize data storage and query performance.
• Writing, testing, and deploying code for data solutions, ensuring they are high-performance and scalable.
• Ensuring data quality, integrity, and security across various data sources and Databricks solutions.