Senior Data Engineer (Snowflake)

Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory. Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting. Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. Collaborate with teams using Jira for task tracking and GitHub for code repository management. Ensure reliable ETL processes, data transformations, and data integration workflows. The role will also help improve data modeling practices and address weaknesses in dimensional modeling. Candidates should have hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory, a strong understanding of Medallion architecture and dimensional data modeling, and practical experience in building ETL pipelines and transforming data for analytics. Familiarity with Jira and GitHub for collaborative work and strong analytical and problem-solving skills are also important.