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
Positive 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
📌 Snowflake Developer With Azure Data Factory Pune
🏢 Phygital Insights
📍 Pune
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