Description

You will design, build, and maintain scalable data pipelines and analytics models using Snowflake, dbt, and Azure services.

This role is on-site.

Responsibilities

• Design and develop reusable dbt models in Snowflake, leveraging sources, tests, and documentation.
• Build and maintain ETL pipelines using Azure Data Factory and dbt to ingest structured and unstructured data from databases, APIs, and Azure Blob Storage.
• Implement CI/CD pipelines in Azure DevOps to automate the building, testing, and deployment of dbt models and data pipelines.
• Automate data quality checks, alerts, and infrastructure provisioning using DevOps principles.
• Collaborate with business teams to define requirements and mentor junior or offshore team members.

Required Skills

• 5+ years of professional experience in data engineering.
• Minimum 2 years of experience with dbt.
• Minimum 2 years of experience with Snowflake.
• Minimum 2 years of experience with Azure services, including Azure Data Factory (ADF), Azure Blob Storage, and Azure DevOps.
• Strong SQL and scripting skills in Python or Bash.
• Experience handling both structured and unstructured data formats.
• Bachelor's degree.

Preferred Skills

• Experience with data integration from mobile applications (Apple/Android).
• Experience working directly with business teams to translate requirements into technical specifications.

Key Skills

Education

Bachelor's degree