Data Engineer (AWS, Azure, GCP)
Tasks
- Administer databases
- Advise clients on cloud technologies
- Apply engineering best practices
- Build data products
- Collaborate with business analysts
- Collaborate with end users
- Create and maintain SQL scripts
- Design data architecture
- Develop data pipelines
- Develop production database solutions
- Ingest and process data
Perks/Benefits
- Disability insurance
- Health coverage
- Learning and development
- Mentorship
- Paid family leave
- Paid time off
- Remote work flexibility
- Tuition support
- Work-life balance
Skills/Tech-stack
AWS Lambda | Amazon EMR | Amazon Kinesis | Amazon Web Services | Apache Hadoop | Apache Spark | Aurora | BigQuery | C# | C++ | CI/CD | Cloud platform | Databricks | Docker | Git | Google Cloud | Google Cloud Platform | Java | Jenkins | Kafka | Kubernetes | Microsoft Azure | Oracle | PostgreSQL | Presto | Python | R | Redshift | SQL | SQL Server | Snowflake | Web Services
Education
N/A
Roles
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