• Design, develop, and maintain scalable and efficient data pipelines to process data from various sources using tools such as Matillion and Databricks. • Collaborate with data scientists, analysts, architects and other stakeholders to understand data requirements and translate them into technical solutions. • Develop and optimize ETL (Extract, Transform, Load) processes to ensure data quality and integrity. • Utilize Snowflake for data warehousing, ensuring efficient data storage and retrieval. • Perform data modeling to design and structure databases that support business requirements. • Write and optimize SQL queries for data transformation. • Ensure data security and compliance with industry standards and regulations. • Adhere to and advocate established best practices and design patterns. • Document data processes, workflows, and technical specifications. • Conduct data analysis to support business insights and decision-making.