Data Engineer
Tasks
- Architect end to end data engineering solutions
- Build and maintain production data APIs
- Build cloud native data platform services
- Collaborate with analytics and engineering teams
- Deploy and manage data applications on ECS and EKS
- Design and implement data pipelines
- Develop ETL/ELT pipelines
- Implement dbt models macros and incremental tables
- Improve data pipeline quality security efficiency and scalability
- Lead technical projects end-to-end
- Manage Snowflake data recovery with Time Travel
- Manage robust data integrations
- Monitor data observability and pipeline health
- Optimize SQL query performance
- Optimize data latency and reliability
- Set up AWS streaming and batch data services
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- EAP
- Employee assistance program
- FSA
- Health insurance
- Home office stipend
- Life insurance
- Paid time off
- Parental leave
- Pet insurance
- Remote work
- Vision insurance
Skills/Tech-stack
API Integration | AWS Firehose | AWS Kinesis | AWS Lambda | Amazon ECS | Amazon EKS | Amazon Redshift | Apache Airflow | Argo Workflows | CI/CD | DBT | Data Lineage | Data Modeling | Data Observability | Data Pipeline Monitoring | Data pipeline | ELT | ETL | FastAPI | Pipeline monitoring | Python | SQL | Snowflake | Time Travel
Education
Roles
Regions
Countries
States
Cities
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