Job Description:
We are looking for a motivated and technically strong GCP and DBT Data Engineer with 4–20 years of IT experience and a proven track record of working with Google Cloud Platform and DBT for the past 3–4 years. This role involves building and optimizing data pipelines, creating scalable transformation workflows, and enabling reliable data delivery across the organization.

Key Responsibilities:

Design, build, and manage scalable data pipelines using GCP services like BigQuery, Cloud Functions, and Cloud Storage

Develop and maintain transformation logic and data models in DBT

Ensure data quality, performance, and reliability across all pipeline stages

Collaborate with analysts, data scientists, and engineering teams to deliver data solutions

Implement best practices for data engineering, version control, and CI/CD

Requirements:

4–5 years of total IT experience, with 3–4 years focused on GCP and DBT

Strong hands-on experience with BigQuery, Cloud Composer, and other GCP components

Proficient in DBT, including model development, testing, and documentation

Solid SQL and Python skills for data transformation and scripting

Familiarity with Git and CI/CD tools

Strong problem-solving and communication skills

Nice to Have:

Experience with data orchestration tools like Apache Airflow

Exposure to BI tools such as Looker, Power BI, or Tableau

Understanding of data governance, security, and compliance principles