Senior Data Scientist
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLGCPMachine LearningData scienceBigQueryMLOps
Requirements
- Solid experience as a Data Scientist or Machine Learning Engineer working in production environments.
- Strong hands-on experience with cloud platforms, especially AWS and Google Cloud Platform (GCP).
- Advanced SQL skills, including query optimization and adaptation across environments.
- Strong proficiency in Python for data manipulation and processing.
- Experience with data pipelines, integrations, and distributed data systems.
- Proven ability to perform data validation and testing in migration or transformation projects.
- Familiarity with analytical and data services in both AWS and GCP ecosystems.
- Ability to work autonomously in complex technical environments.
- Strong communication skills and ability to collaborate with cross-functional teams.
Responsibilities
- Lead the migration of data pipelines, integrations, and data consumption processes from AWS to GCP within data science and analytics initiatives.
- Adapt SQL queries, data workflows, and processing logic to ensure compatibility with GCP services and dialects.
- Perform data validation, functional testing, and consistency checks to guarantee accuracy during and after migration.
- Support the migration of machine learning workloads to equivalent GCP services, ensuring operational stability and performance.
- Collaborate closely with Data Engineering, Architecture, and MLOps teams to ensure robust and scalable solutions.
- Identify and resolve performance, compatibility, and governance issues arising during cloud transition activities.
- Document technical workflows, architectural decisions, and data flow transformations related to migration efforts.
- Contribute to the standardization and automation of data pipelines and analytical processes.
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