Job Descritpion of Snowflake Developer with Azure Data Factory
6 to 8 Years Relevant Experience
- 4+ years of experience in Snowflake.
- 4–6 years of hands-on experience with SQL Server, writing complex T-SQL queries and logic.
- 4–6 years of experience using SSIS as an ETL tool, with proven experience in building complex ETLs, deployment, and package configuration.
- 2–4 years of experience in Microsoft Azure & Azure SQL Databases.
- 2–4 years of hands-on experience using Azure Data Factory as an ETL/ELT tool.
- Proficient in connecting to various Azure storage systems, on-premises, and cloud sources/destinations using ADF.
- Knowledge of Azure DevOps for CI/CD integration.
- Experience working in Agile methodology.
Primary Skills:
- Azure Data Factory (Pipelines/Data Flows).
- Azure Data Lake Gen2 Storage.
- Logic Apps.
- SQL Server Analysis Services (Tabular).
- Power BI (Dataset Creation only).
- DAX.
- T-SQL (Stored Procedures, Views, etc.).
- Azure DevOps.
- Snowflake.
Secondary Skills:
- Data Modeling
- SQL Server Integration Services (SSIS)
- Team Foundation Server (TFS) via Visual Studio
- ServiceNow
- Power BI
- Stream lit
- Fivetran
Good to Have:
- Hands-on experience with SSAS, Power BI
- Exposure to C#.NET is an added advantage
Required Skills for Snowflake Developer with Azure Data Factory Job
- Snowflake
- Azure Data factory (Pipelines/Data flows)
- AzureDataLake-Gen2Storage
- Logic Apps
- SQL Server Analysis Services(Tabular)
- Power BI(Dataset Creation only)
- DAX
- T-SQL (Stored procedure, views etc)
- Azure Devops
Our Hiring Process
- Screening (HR Round)
- Technical Round 1
- Technical Round 2
- Final HR Round