Snowflake Developer

Overview You will architect and implement large-scale Snowflake-based data warehouses and cloud analytics solutions that power business decisions. You’ll work within a cross-functional team to translate requirements into scalable data platforms, leveraging cloud services to handle data ingestion, transformation, and reporting at scale. The role combines hands-on development with architectural judgment to operationalize robust data pipelines. This is an opportunity to shape how data drives insights across the organization. ResponsibilitiesDesign and implement large-scale Snowflake data warehouse solutionsDevelop and maintain ETL pipelines using Data Factory, Python, and Snowflake SQLCreate Unix and Python scripts for data extraction, loading, and transformationProvide production support for data warehousing issues (loads, transformations)Translate BI and reporting requirements into database and reporting designsDocument implementations, tests, and requirements for clarity and reproducibilityAssist in automating data pipelines using cloud-based approachesCollaborate with stakeholders to ensure data quality and availability Key requirementsMinimum 1 year designing production-grade Snowflake data solutions3 years building production pipelines using Java, Spark, Scala, Python2 years designing production data warehousing on large-scale technologies (Teradata, Oracle, DB2)Deep knowledge of Snowflake internals and integration with processing/reporting toolsExcellent presentation and communication skillsProblem-solving ability in environments with unclear requirementsExperience architecting data solutions with cloud services (Azure/AWS/GCP)strong communicationcollaborative mindsetproblem solvingSnowflake data warehousing and Snow SQLAzure Data FactoryPython