Role Overview : We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The role involves building and maintaining data pipelines, data models, and analytics platforms using GCP, dbt, and Apache Airflow.Responsibilities : - Design, develop, and maintain scalable data pipelines and workflows on Google Cloud Platform (GCP).- Build and optimize data models using dbt Cloud, including models, macros, tests, and Slowly Changing Dimensions (SCDs).- Develop and manage Apache Airflow workflows, optimizing orchestration, scheduling, and pipeline performance.- Work with BigQuery to develop complex queries, optimize performance, and manage data processing costs.- Implement data modelling practices using fact and dimension tables, SCDs, and appropriate schema design.- Develop data quality checks, validation frameworks, and monitoring mechanisms to ensure data accuracy and reliability.- Manage version control and CI/CD workflows using GitHub, Bitbucket,



and relevant deployment tools.- Support infrastructure automation using Terraform or CloudFormation.- Apply cloud security and IAM best practices to protect data and manage access.- Build and maintain cross-cloud data pipelines where required.- Collaborate with cross-functional teams to deliver reliable and scalable data engineering solutions.Requirements : - 4 - 9 years of experience in data engineering, with strong hands-on expertise in GCP.- Mandatory experience with GCP, dbt, and Apache Airflow.- Strong proficiency in BigQuery, including query tuning, performance optimization, and cost management.- Hands-on experience with dbt Cloud, including data models, SCDs, tests, macros, and governance.- Robust SQL skills and proficiency in Python for data processing and pipeline development.- Experience designing and optimizing Airflow workflows and data orchestration processes.- Knowledge of data modelling concepts, including fact and dimension tables and SCDs.- Experience with GitHub or Bitbucket, CI/CD tools, and infrastructure-as-code tools such as Terraform or CloudFormation.- Understanding of data quality frameworks, cloud security, and IAM best practices.- Exposure to cross-cloud data pipelines is an advantage.- B.E./B.Tech in Computer Science, Information Technology, or a related discipline is preferred. (ref:hirist.tech)

📌 Embark Group - Data Engineer - Google Cloud Platform (Delhi)
🏢 Embark Group
📍 Delhi