Senior Data Engineer
Tasks
- Build and transform data using big data technologies
- Conduct code reviews and debugging
- Deploy scalable web applications and services
- Design data integration solutions
- Design scalable platform services
- Develop data pipelines
- Drive software architecture discussions
- Ensure compliance and security requirements
- Implement Agile development activities
- Improve engineering tools and cloud technologies
- Own project delivery and timelines
- Support business users with data warehousing and AWS architecture
- Troubleshoot critical customer issues across AWS services
Perks/Benefits
- 401k
- Accident insurance
- Commuter benefits
- Dental insurance
- Disability insurance
- Financial wellness support
- Flexible Fridays
- Healthcare
- Hybrid work
- Life insurance
- Mental health support
- Paid time off
- Retirement plan
- Telecommuting
- Vision insurance
Skills/Tech-stack
AWS | AWS DMS | Agile | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon Managed Workflows for Apache Airflow | Amazon QuickSight | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon VPC | Apache Airflow | Apache Hive | Apache Spark | CI/CD | Data Lake | Data Modeling | Data Warehousing | Distributed Systems | ETL | IAM | IBM Cognos | Java | MySQL | NoSQL | Oracle | Performance Tuning | PostgreSQL | Python | SQL | Scala | Tableau | Teradata | Unix
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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