Data Engineer Analyst
Santiago, Santiago Metropolitan Region, Chile
R
CLP 7800K-8400K (estimate) Mid-level Full Time
Tasks
- Apply data engineering best practices modular design and governance
- Build batch and streaming ingestion pipelines
- Collaborate with cross-functional teams
- Design scalable data pipelines
- Develop analytics aligned data models
- Ensure data quality, reliability, and performance
- Identify risks bottlenecks and optimization opportunities
- Implement CDC based ingestion
- Use AI-assisted development tools
Perks/Benefits
- Career development plans
- Company-provided equipment
- English lessons
- Flexible working
- Learning opportunities
- Mentorship programs
- Travel for industry conferences
- Udemy Business
Skills/Tech-stack
AWS Glue | AWS Step Functions | Amazon Athena | Amazon S3 | Batch Processing | Change Data Capture | Data Capture | Data Modeling | Data Pipeline Architecture | Data pipeline | Pipeline architecture | PySpark | Python | Snowflake | Step Functions | Streaming Ingestion
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Analyst | Data Engineer | Data Engineer & Analyst | Engineer | Engineer, Analyst
Regions
Countries
States
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