Semi Senior / Senior Data Engineer (AWS, Python & SQL)
Tasks
- Build and maintain data pipelines
- Collaborate with software engineers and stakeholders
- Design scalable data pipelines
- Develop data processing systems
- Ensure data quality automation
- Mentor engineers and analysts
- Optimize data infrastructure
- Optimize performance resiliency scalability and cost
- Participate in architecture discussions
Perks/Benefits
- AI training resources
- Continuous training
- Flexible schedule
- Mentorship programs
- Paid Holidays
- Paid time off
- Private health insurance
- Remote-friendly culture
Skills/Tech-stack
AWS Kinesis | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | Data Ingestion | Data Quality | Data Warehousing | Docker | Fivetran | Kafka | Kubernetes | Python | SQL | Snowflake | Streaming | Web Services
Education
N/A
Roles
Regions
Countries
States
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