Description

You will design, build, and maintain scalable data pipelines and models using Snowflake, dbt, and Fivetran. You own the end-to-end data lifecycle from ingestion to analytics-ready structures.

Responsibilities

• Design and maintain conceptual and analytical data models, including logical, physical, and dimensional schemas.
• Build and optimize resilient ETL/ELT pipelines using Fivetran for extraction and dbt for transformation.
• Implement monitoring, logging, and alerting for data pipelines to ensure reliability and observability.
• Manage code releases and version control using Azure DevOps and GitHub.
• Collaborate with analysts and engineers to align data solutions with business goals in an Agile environment.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Expert-level SQL proficiency.
• Deep experience with Snowflake for data warehousing and performance optimization.
• Strong background in Data Build Tool (dbt) for data transformation.
• Hands-on experience with Fivetran for data integration.
• Proficiency in Azure DevOps and GitHub for version control and CI/CD.
• Strong understanding of data modeling techniques (star/snowflake schemas).
• Ability to communicate technical concepts clearly to cross-functional teams.

Key Skills

Education

Any Graduate