8 + years of experience of analyzing, integrating, modelling, and interpreting large volumes of complex data from multiple sources and technologies preferably using AWS Cloud Services.Minimum of 3+ years of working experience with Snowflake as a cloud Datawarehouse and data lake service.Obvious track record of designing and implementing ELT data pipelines using tools like dbt and Apache Airflow with Snowflake as Cloud DatawarehouseExposed to ETL / ELT and governance tools (incl. FiveTran, Alation)Experience within the AWS Cloud environment with services such as AWS S3, AWS Lambda , SNS, SQS, IAMStrong technical proficiency in SQL, data modelling and data warehousing in a variety of database technologies.Ability to present and communicate complex technical issues to a variety of audiences including senior management.Demonstrable career history working with and delivering high volume Data Warehousing solutions is essential.