Responsibilities: Design and implement data pipelines using Snowpipe for data ingestion. Design and implement data pipelines using DBT for transformation and loading processes into Snowflake Data Vault 2.0. Execute ETL processes using DBT to load the data from Snowflake Business Data Vault to Snowflake Consumption Layer, ensuring the smooth implementation of data integration strategies. Demonstrate a good understanding and hands-on experience in DevOps, actively participating in troubleshooting issues within the data operations environment. Participate in data quality checks and monitoring, implementing appropriate metrics and alerts. Work with the team to automate data pipelines and deploy code using CI/CD tools. Monitor and optimize data platform performance and resource utilization. Document data pipelines and processes for maintainability and knowledge sharing. Qualifications: Overall 10+ years of experience on data engineering Demonstrated experience of 5+ years in primary skill with similar engineering role, showcasing proficiency in Data Transformations and Integration Projects Solid understanding and hands-on experience in the AWS Cloud environment, particularly DBT, Python and Snowflake Proficient in troubleshooting data pipelines built using DBT & Snowflake. Good experience in ETL processes, and data integration. Ability to work collaboratively in a team-oriented environment Excellent problem-solving and analytical skills.