Google Senior Data Engineer

About the job

Responsibilities

• Build data pipelines, ETL/ELT processes, and integrations using GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming data sources.
• Support the development of dashboards and analytics products using Looker or Looker Studio.
• Assist in developing ML models and AI solutions using Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs, and Embeddings.
• Implement ML pipelines and establish MLOps processes, including monitoring, retraining, and deployment.
• Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.
• Contribute to model testing, validation, and documentation.
• Participate in client workshops to understand data needs and technical requirements.
• Help translate functional requirements into technical tasks and implementation plans.
• Communicate progress, blockers, and insights to project leads and client stakeholders.
• Implement metadata management, data quality checks, and lineage tracking using GCP tools like Dataplex and IAM.
• Follow best practices for security, identity management, and compliance.
• Support operational processes for data validation, testing, and monitoring.
• Learn and apply GCP Data & AI best practices.
• Collaborate with senior data engineers, ML engineers, and architects.
• Contribute to internal accelerators, documentation, and reusable components.
• Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Requirements

• Minimum of 5 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum of 4 years of practical experience with Google Cloud Platform.
• Minimum of 5 years of experience with SQL, data modeling, and building data pipelines.
• Minimum of 3 years of experience with Python or AI/GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off