
Senior Data Engineer
NIO
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
Visit company websiteExplore more
Job Level
About the role
- Design and build scalable, efficient data pipelines using Python, SQL and the GCP stack.
- Implement and manage cloud data storage and processing solutions.
- Collaborate with analytics and data science teams to understand requirements and deliver high-quality data.
- Ensure data integrity, security, and governance.
- Optimize query performance and data processing workflows.
Requirements
- Proficiency in Python and SQL for data manipulation and processing.
- Proven experience with the GCP stack (BigQuery, Dataflow, Composer, Cloud Storage, etc.).
- Experience in data engineering projects, including the design, implementation, and maintenance of pipelines.
- Familiarity with version control tools (Git).
- Knowledge of data modeling and data warehouse/data lake concepts.
- Ability to work in agile, fast-paced environments.
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
- GCP certifications (e.g., Professional Data Engineer) are a plus.
Benefits
- Meal and/or food allowance
- Transportation allowance
- Health insurance
- Dental insurance
- Life insurance
- Private pension
- Profit-sharing program (PPR)
- Pharmacy assistance
- Childcare assistance
- Flexible working hours
- V.tal Benefits Club
- Extended maternity leave (6 months)
- Extended paternity leave (20 days)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLGCPBigQueryDataflowComposerCloud Storagedata modelingdata warehousedata lake
Soft Skills
collaborationdata integritydata securitydata governancequery optimizationagile environment
Certifications
Professional Data Engineer