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.

Key Responsibilities: 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.

Ingest data from APIs, databases, files, cloud storage, and other internal and external systems into Snowflake.

Monitor and optimize performance of pipelines and troubleshoot ingestion issues Implement data quality checks, logging, alerting, and governance processes Maintain technical documentation of data pipelines and workflows.

Required Skills & Experience: 4+ years of experience in data engineering, ETL development, or data integration Strong hands-on experience with Snowflake data warehousing and data ingestion .

Hands-on experience with Snowpipe and/or Snowpipe Streaming .

Experience with Azure Data Factory (ADF) for orchestration and pipeline automation Proficiency with Python for scripting, automation, and data manipulation Experience building ETL/ELT pipelines and working with large data volumes.

Experience with dbt , preferably with Snowflake.

Solid working knowledge of Snowflake and PostgreSQL Experience using dbt for SQL-based transformation, version control, and documentation Strong SQL skills and familiarity with data modeling concepts (e.g., star/snowflake schemas) Familiarity with Git and version-controlled development environments Preferred Qualifications: Experience with API integration and handling large data files (CSV, JSON, XML) Familiarity with Azure Blob Storage, Azure Data Lake, or similar Exposure to cloud data platforms (Azure, AWS, or GCP) Understanding of data governance, lineage, and cataloging tools