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Mid-level generalist Data Engineer role with common skills and moderate brand recognition.
ETL, Snowflake and Azure data skills are broadly transferable across industries.
Explicit 3-5 years and mandatory Snowflake plus Azure ETL stack increases filtering.
Design, develop, and manage ETL processes to extract, transform, and load data for reporting and analytics.
Optimize ETL workflows for performance and reliability, resolving issues as they arise.
Collaborate with data architects and analysts to define data requirements, ensure data quality, and participate in data modeling and database design.
Bachelor's degree in Computer Science, Information Technology, or related field.
3 to 5 years of experience as an ETL Developer or similar role.
Mandatory experience with Snowflake and ETL tools such as Azure Data Factory (ADF) and Synapse.
Proficient in SQL for data manipulation and querying; expert-level experience with Azure Data Lake, Azure Blob Storage, Azure Storage Explorer, Snowpark.
Experience working in Agile application development, support, and deployment environments.
Demonstrated ability to collaborate with both technical and non-technical stakeholders to meet business data needs.
Familiarity with cloud platforms and multi-cloud environments, with strong skills in Azure and Snowflake ecosystems.