13 hours ago
São Paulo, BrazilStaff+
Responsibilities
- Build, test, performance-tune, and ship production data and machine learning workloads with customers using PySpark, SQL, Python, BigQuery, Managed Spark, Spanner, and AlloyDB.
- Stand up working proofs with customer data, including de-identification of sensitive PCI and PHI data.
- Build lakehouse architectures, metadata and semantic context, and access controls for agentic solutions.
- Train, evaluate, and deploy machine learning and agentic components with evaluation and monitoring.
- Refactor and migrate analytics, Spark, and operational database workloads to Google Cloud engines, measuring price-performance results.
- Embed with customer accounts, provide white-glove deployment, and translate field insights into product roadmap feedback.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting.
- Experience writing production code in Python and SQL.
- Experience with data cloud ecosystem products, technologies, or languages such as Apache Spark, PySpark, BigQuery, Spanner, and AlloyDB.
- Experience taking production-grade data cloud solutions from conception to launch, architecting cloud data systems on GCP, and building structured and unstructured pipelines.
- Experience training, evaluating, and deploying machine learning models in production.
- Fluent English and Portuguese communication skills.
- Preferred experience with LLM applications, Gemini, RAG, vector search, multi-agent frameworks, prompt engineering, model evaluation, LLM-native metrics, state management, and granular tracing.
- Preferred experience with Dataplex, Databricks, Snowflake, Iceberg, Delta Lake, and migrating analytics, Spark, or database workloads between platforms.
Tech Stack
Categories
Forward Deployed
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.