DBT & Informatica Migration Lead - Snowflake

Compunnel, Inc.; Chicago (IL); Presencial; USD 120.000 - 150.000; Jornada completa

Descripción de la vacante

A data engineering firm based in Chicago is seeking a DBT/Informatica Lead to define the target ELT architecture and lead migrations from Informatica to dbt on Snowflake. The ideal candidate will have over 8 years of experience in data engineering, strong Snowflake expertise, and a proven track record in leading data migrations. Key responsibilities include developing dbt models, establishing best practices, and ensuring high-quality production-grade data pipelines. This role requires a strong understanding of Azure data stack and excellent collaboration skills.

Formación

• 8+ years of experience in Data Engineering, ETL, and Data Warehousing.
• 3+ years of hands-on dbt experience building production-grade pipelines.
• Proven experience leading an Informatica to dbt migration on Snowflake.
• Strong Snowflake expertise including schema design and performance tuning.
• Solid working knowledge of Azure data stack including ADF and ADLS.

Responsabilidades

• Define the target ELT architecture using dbt on Snowflake.
• Lead the migration strategy from Informatica workflows to dbt.
• Analyze ETL logic to design equivalent dbt logic.
• Develop dbt models and ensure secure deployment in Azure.

Conocimientos

Data Engineering

ETL Modernization

Snowflake Optimization

Azure Ecosystem Integration

Informatica to dbt Migration

Data Modeling Standards

Communication Skills

Herramientas

dbt

Snowflake

Azure Data Factory

ADLS

Databricks

Descripción del empleo

A data engineering firm based in Chicago is seeking a DBT/Informatica Lead to define the target ELT architecture and lead migrations from Informatica to dbt on Snowflake. The ideal candidate will have over 8 years of experience in data engineering, strong Snowflake expertise, and a proven track record in leading data migrations. Key responsibilities include developing dbt models, establishing best practices, and ensuring high-quality production-grade data pipelines. This role requires a strong understanding of Azure data stack and excellent collaboration skills.