Data Engineer - Scala / Apache Spark

Responsibilities :

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and Scala on the Databricks platform.
• Implement ETL (Extract, Transform, Load) processes for various data sources, ensuring data quality, integrity, and efficiency.
• Optimize Spark applications for performance and cost-efficiency within the Databricks environment.
• Work with Delta Lake for building reliable data lakes and data warehouses, ensuring ACID transactions and data versioning.
• Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.
• Implement data governance and security best practices within Databricks.
• Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
• Stay updated with the latest advancements in Spark, Scala, Databricks, and related big data technologies.

Required Skills and Experience :

Preferred Qualifications (Optional) :

(ref : hirist.tech)