Semi Senior / Senior Data Engineer (AWS, Python & SQL)
Tasks
- Build and maintain data infrastructure
- Collaborate with engineers analysts and stakeholders
- Design scalable data pipelines
- Develop data processing systems
- Ensure data quality automation and best practices
- Mentor engineers and analysts
- Optimize AWS data solutions cost performance and reliability
- Optimize platform performance resiliency scalability and operational costs
- Participate in architecture discussions and technical decisions
Perks/Benefits
- AI training resources
- Continuous training
- Flexible schedule
- Mentorship
- Paid Holidays
- Paid time off
- Private health insurance
- Remote-friendly culture
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Spark | Automation | Data Pipelines | Data Quality | Data Warehousing | Fivetran | Python | SQL | Snowflake | Streaming
Education
N/A
Roles
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