Senior Data Engineer
Remote - United States
R
USD 120K-180K (estimate) Senior-level Full Time
Tasks
- Build data pipelines using Python
- Conduct code reviews and architectural discussions
- Design and optimize DynamoDB data models and indexing
- Implement real time data processing for transactional data
- Mentor junior team members and share knowledge
- Monitor and optimize pipeline performance scalability and latency
- Optimize ETL ELT pipelines for batch and streaming data
- Set up data validation monitoring and alerting
- Support data governance compliance and security best practices
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS DynamoDB | AWS Glue | AWS Lambda | Alerting | Amazon Kinesis | Amazon Redshift | Apache Spark | Batch Processing | CI/CD | Capacity Planning | Data Governance | Data Modeling | Data Validation | Distributed Processing | Docker | Document store | ELT | ETL | Indexing | Infrastructure as Code | Key-value | Key-value store | Kubernetes | Monitoring | NoSQL | Python | Schema Design | Security | Serverless architecture | Streaming Data | Terraform | “as-code”
Education
Roles
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