Data Ingestion Engineer (ADF+Dbt+Snowflake)

About the role

We are seeking a highly skilled and motivated Data Ingestion Engineer to join our data platform team. This role involves building and maintaining scalable, reliable, and secure data pipelines that power analytics, reporting, and decision-making across the organization. You will work with Snowflake, SQL, dbt, Azure Data Factory (ADF), Python, and PostgreSQL o integrate and transform data from a variety of cloud and on-premises sources.

What you'll do

• Design, develop, and maintain Snowflake-native data ingestion pipelines using Snowpipe, Snowpipe Streaming, Snow Tasks, and Snow Streams
• Build automated, scalable ingestion processes to load batch and near-real-time data into Snowflake
• Design and implement ELT workflows using Snowflake and dbt
• Integrate Azure Data Factory (ADF) with Snowflake for data movement and orchestration where appropriate
• Develop Python scripts and utilities for data ingestion, validation, automation, and integration

What you need

• 4–7 years in data science & ai
• SQL
• Python
• ETL
• Snowflake
• dbt
• Azure Data Factory
• Any graduate

Good to have

• AWS
• Azure
• GCP
• Data warehousing
• Data modelling
• PostgreSQL