Senior Data Engineer

What you'll do

• Build data pipelines, ETL/ELT processes, and integrations using GCP services like BigQuery, Dataflow, and Pub/Sub.
• Perform data modeling, performance tuning, and query optimization within BigQuery.
• Develop ML models and AI solutions using Vertex AI, Gemini models, and RAG patterns.
• Implement MLOps processes including monitoring, retraining, and deployment of machine learning models.
• Support the development of dashboards and analytics products using Looker or Looker Studio.
• Translate client functional requirements into technical tasks and implementation plans during workshops.
• Implement metadata management, data quality checks, and lineage tracking using GCP tools like Dataplex.
• Create internal accelerators, documentation, and reusable components to support team delivery.

What we're looking for

• 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 or GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent (minimum 12 years) work experience; Associate’s Degree requires minimum 6 years work experience.
• Experience with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker (preferred).
• Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns (preferred).
• Hands-on experience with CI/CD, Git, or cloud-native engineering practices (preferred).