Data Engineer GCP

Data Engineer

We’re looking for an experienced Data Engineer to build, scale, optimize, and maintain reliable data platforms. You’ll work on real-time pipelines, ML infrastructure, attribution data processing, and cloud-native solutions in a high-volume production environment.

Tech Stack

• GCP
• Apache Spark, dbt, BigQuery
• Python, SQL, Scala
• Apache Airflow
• Terraform, GitHub Actions, Docker, Kubernetes
  
• VertexAI

Must Have

• Over 3 years of experience in Data Engineering and building production-scale data platforms.
• Strong programming skills in Python and SQL.
• Advanced experience with data modeling, ETL development, and multiple data formats.
• Strong knowledge of Google Cloud Platform and cloud-native architecture design.
• Expert knowledge of Apache Airflow for workflow orchestration and automation.
• Hands-on experience with Apache Spark for batch and high-volume streaming workloads.
  
• Good understanding of CI/CD and DevOps tools such as GitHub Actions or Kubernetes.

Nice to Have

• Experience with MLOps and ML deployment in production, preferably with Vertex AI.
• Practical experience with Terraform for Infrastructure as Code.
  
• Experience building scalable REST APIs for data or ML services.
• Strong testing practices, including TDD and unit/integration tests for Spark and Airflow.
• Knowledge of Scala for high-performance data processing.