• Design, build, and maintain scalable data pipelines and ETL processes
• Develop and optimize data models, data marts, and curated datasets
• Perform data ingestion, cleansing, and transformation from multiple sources
• Ensure data quality, integrity, and consistency across systems
• Implement data architecture best practices and standards
• Collaborate with cross-functional teams to understand business requirements
• Apply CI/CD practices within data environments
• Support data security initiatives (e.g., RLS, data masking, encryption)
• Monitor and troubleshoot data workflows and performance issues
• Contribute to continuous improvement of data platforms and processes

Requirements

• 6+ years of experience in data engineering or related roles
• Strong experience with ETL, data pipelines, and data modeling
• Hands-on experience with modern data platforms such as: Databricks, S...