Job Description

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. Qualifications

Required Skills Experience:
- 4+ years of experience in data engineering, ETL development, or data integration
- Robust 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 tr

📌 Data Ingestion Engineer (Pune)
🏢 Eversana India
📍 Pune