Data Engineer – Databricks Redshift

• Design, develop, and maintain scalable data pipelines and ETL workflows using Databricks and Amazon Redshift.

• Build and optimize data models to support analytics, reporting, and business intelligence needs.

• Work with large datasets to ensure efficient data processing, storage, and retrieval.

• Collaborate with data analysts, engineers, and business teams to understand data requirements and deliver solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and reliability.

• Ensure data quality, integrity, and consistency across all data platforms.

• Implement best practices for data engineering, including automation and pipeline orchestration.

• Support data migration and integration activities across cloud and on-premise systems.

• Develop and maintain documentation for data architecture, pipelines, and processes.

• Stay updated with modern data engineering tools and cloud technologies to improve system efficiency.