Data Engineer

CodesyncHR Services Inc.; United States; A distancia; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

CodesyncHR Services Inc. is seeking a hands-on Data Engineer to build and support modern cloud-based data pipelines. You will apply Python, PySpark and SQL skills across ETL and ELT tasks in Azure, Snowflake and dbt environments.

You’ll develop data processing solutions, transform data with advanced SQL, and ensure robust data workflows. Exposure to AI concepts in a modern data ecosystem is a plus as you accelerate analytics initiatives.

Formación

• Strong hands-on experience with Python and PySpark.
• Extensive Azure experience, including Azure Data Factory.
• Strong Snowflake and dbt experience.
• Advanced SQL skills.
• A strong understanding of ETL and ELT environments and patterns.
• Experience building and supporting modern cloud-based data pipelines.
• Exposure to AI and generative AI concepts and tools in a modern data environment.

Responsabilidades

• Build and support modern cloud-based data pipelines.
• Develop data processing solutions with Python and PySpark.
• Work with Azure Data Factory and Snowflake in cloud data environments.
• Apply dbt and advanced SQL to transform and manage data.
• Use sound ETL and ELT patterns across data workflows.

Conocimientos

Python

PySpark

SQL

Azure Data Factory

Snowflake

dbt

ETL/ELT pipelines

Cloud data pipelines

AI concepts

Descripción del empleo

About the role

We’re looking for a hands-on Data Engineer to build and support modern cloud-based data pipelines. You’ll work across Azure data services, Snowflake and dbt, applying strong Python, PySpark and SQL skills in ETL and ELT environments.

What you’ll do

• Build and support modern cloud-based data pipelines.
• Develop data processing solutions with Python and PySpark.
• Work with Azure Data Factory and Snowflake in cloud data environments.
• Apply dbt and advanced SQL to transform and manage data.
• Use sound ETL and ELT patterns across data workflows.

What you’ll bring

• Strong hands-on experience with Python and PySpark.
• Extensive Azure experience, including Azure Data Factory.
• Strong Snowflake and dbt experience.
• Advanced SQL skills.
• A strong understanding of ETL and ELT environments and patterns.
• Experience building and supporting modern cloud-based data pipelines.
• Exposure to AI and generative AI concepts and tools in a modern data environment.