Data Engineer

Job Title: Data Engineer – Google Cloud Platform (GCP)

Job Summary

We are seeking a skilled and motivated Data Engineer with hands-on experience in building scalable data pipelines and cloud-native data solutions on Google Cloud Platform. The ideal candidate will be proficient in GCP services like Pub/Sub, Dataflow, Cloud Storage, and BigQuery, with a foundational understanding of AI/ML workflows using Vertex AI.

Key Responsibilities

• Design, develop, and optimize robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
• Architect and manage scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
• Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI (AO Vertex), including model training and deployment.
• Ensure data quality, reliability, and performance across all pipeline components.
• Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
• Maintain documentation and contribute to best practices in cloud data engineering.

Required Skills & Qualifications

• 3–6 years of experience in data engineering, with strong exposure to GCP.
• Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
• Solid understanding of data modeling, ETL/ELT processes, and performance optimization.
• Experience with Python, SQL, and cloud-native development practices.
• Familiarity with CI/CD pipelines and version control (e.g., Git).
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Secondary Skills (Interview-Ready Knowledge)

• Basic understanding of AI/ML workflows and tools within Vertex AI.
• Ability to discuss model lifecycle, deployment strategies, and integration with data pipelines.
• Awareness of MLOps principles and cloud-based ML orchestration.