Description

Design, develop, and maintain scalable data pipelines and workflows on Google Cloud Platform.

This role is on-site.

Responsibilities

• Build and optimize data models, schemas, and warehouses using BigQuery and Cloud SQL.
• Develop scalable data pipelines using Dataflow, Dataproc, and Cloud Data Fusion.
• Automate data workflows, monitor system health, and troubleshoot issues proactively.
• Ensure data quality, security, and compliance across all data environments.
• Collaborate with stakeholders to gather requirements and deliver effective data solutions.

Required Skills

• 5+ years of experience in data engineering or data architecture.
• Proficiency in SQL and programming languages: Python, Java, or Scala.
• Hands-on experience with GCP services: BigQuery, Cloud SQL, Cloud Storage, Dataflow, Dataproc, Data Fusion.
• Experience designing and implementing scalable and secure data pipelines on GCP.
• Knowledge of ETL/ELT processes, data modeling, and data warehousing concepts.
• Familiarity with containerization (Docker) and orchestration (GKE, Kubernetes).
• Understanding of data security, encryption, and compliance policies.
• Experience with Apache Spark, Kafka, or Pub/Sub for real-time data streaming.

Preferred Skills

• Experience with Terraform, Deployment Manager, and CI/CD integrations.
• Familiarity with machine learning workflows on GCP (Vertex AI, AI Platform).
• Knowledge of Cloud IAM and cybersecurity best practices.

Key Skills

Education

Bachelor's degree