Role OverviewWe are seeking a Cloud Data Development Engineer with strong expertise in Snowflake, DBT, and Azure Data Services to design, develop, and optimize modern cloud-based data solutions.
What You Will Do
Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, DBT, and Azure services. Build and optimize data models, data transformations, and data integration workflows.
Why It Might Be a Fit
Experience in the Financial Services industry is highly preferred.
Requirements
- 7-8 years of experience in Data Engineering and Cloud Data Development
- Strong hands-on experience with Snowflake
- Strong experience with DBT (Data Build Tool)
- Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and other Azure services
- Strong SQL development and performance tuning skills
- Experience building and supporting ETL/ELT solutions
- Working knowledge of Python for data engineering tasks
- Understanding of data warehousing concepts, dimensional modeling, and data integration patterns
- Experience with Agile development methodologies
Benefits
]]>