Description

Key Skills: Azure, Azure Data Factory, SQL, Snowflake, dbt, ETL, SSIS, Data Engineering, Data Pipelines, Data Integration, Data Warehousing, Source-to-Target Mapping

Roles & Responsibilities:

• Build and maintain data pipelines using Azure Data Factory and SQL-based transformations
• Develop ETL processes to ingest, cleanse, and structure data from multiple source systems
• Support Snowflake-based data models and dbt transformations where applicable
• Work with source-to-target mappings and ensure data is organized for analytics consumption
• Collaborate with engineering and analytics teams to deliver stable, reusable data assets

Experience:

• 4 to 7 years of relevant data engineering experience
• Strong hands-on experience with Azure and Azure Data Factory
• Solid SQL skills for data extraction, transformation, and validation
• Experience designing ETL pipelines and working with data warehouse structures
• Experience with data integration workflows and analytics data delivery

Good to Have:

• Snowflake experience
• dbt or DBT models experience
• SSIS exposure

Education:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Key Skills

Education

Any Graduate