GCP-DBT Engineer

Data Engineer

Key Responsibilities

• Design, develop, and optimize

  data pipelines and ETL workflows

  using

  GCP services

  (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.).
• Build and maintain

  transformations in DBT

  with proficiency in

  SQL

  and

  Python

  .
• Implement

  data models

  to support analytics, reporting, and machine learning use cases.
• Ensure

  data quality, performance, and reliability

  across platforms.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Use

  GitLab

  for version control, CI/CD, and collaborative development workflows.
• Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency.
• Follow best practices for

  data governance, security, and compliance

  .

Required Skills & Qualifications

• 5–7 years of experience

  as a Data Engineer or in a similar role.
• Strong expertise in

  Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.)

  .
• Hands-on experience with

  DBT (SQL & Python)

  for data transformations.
• Strong proficiency in

  SQL

  (complex queries, performance tuning) and

  Python

  for scripting.
• Experience with

  GitLab

  (version control, CI/CD pipelines).
• Solid understanding of

  data warehousing concepts, ETL design, and data modeling

  .
• Strong problem-solving, analytical, and communication skills.
• Experience working in

  Agile/Scrum environments

  is a plus.