Senior Data Engineer
Tasks
- Build and maintain Amazon QuickSight dashboards
- Create QuickSight datasets using Athena queries
- Create technical documentation for pipeline components
- Design, build, and maintain ETL pipelines
- Develop AWS Glue PySpark jobs
- Implement incremental loading and data quality checks
- Integrate AWS services into pipeline architectures
- Manage Apache Iceberg tables on S3
- Optimize dashboard performance with SPICE and Direct Query
- Orchestrate pipelines with AWS Step Functions
- Participate in code reviews sprint planning and knowledge sharing
- Translate business requirements into dashboard visuals
- Troubleshoot production pipeline failures
Perks/Benefits
Skills/Tech-stack
AWS CloudWatch | AWS Glue | Amazon Athena | Amazon EventBridge | Amazon QuickSight | Amazon S3 | Amazon SNS | Amazon SQS | Amazon Step Functions | Apache Iceberg | CI/CD | Data Modeling | Data Quality | Dimensional Modeling | ETL | IAM | Incremental loading | PySpark | Python | SQL | Slowly Changing Dimensions | Step Functions
Education
N/A
Roles
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