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Data Ingestion Engineer (ADF+Dbt+Snowflake)
EVERSANA
Pune, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
SnowflakeSnowpipeSnowpipe StreamingSnow TasksSnow StreamsSQL
Free
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Role Overview
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 Skills for This Role
SnowflakeSnowpipeSnowpipe StreamingSnow TasksSnow StreamsSQL
Full Job Posting
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.
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