Senior Business Intelligence Analyst
Tasks
- Build and maintain AWS Glue ETL pipelines
- Build and publish Amazon QuickSight dashboards
- Create QuickSight datasets using Athena over Iceberg
- Follow Git branching strategies and CI CD practices
- Implement incremental loading and schema evolution
- Ingest data from Salesforce JIRA Azure DevOps and Zendesk
- Integrate AWS services such as Athena EventBridge SQS SNS and CloudWatch
- Maintain Iceberg tables on S3 with merge compaction and snapshot management
- Monitor data freshness and pipeline health and respond to alerts
- Optimize dashboard performance with SPICE versus Direct Query
- Orchestrate data workflows with AWS Step Functions
- Participate in code reviews and sprint planning
- Perform data quality checks and troubleshoot pipeline failures
- Translate Tableau and Excel reporting into QuickSight visuals
Perks/Benefits
- Collaborative small team
- Cross-timezone collaboration
- Greenfield BI platform
- Mentorship and growth opportunities
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Step Functions | Amazon Athena | Amazon CloudWatch | Amazon QuickSight | Amazon S3 | Amazon SNS | Amazon SQS | Apache Iceberg | CI/CD | Data Modeling | Data Quality | Data Quality Checks | Dimensional Modeling | EventBridge | Incremental loading | PySpark | Python | Quality checks | REST APIs | SQL | Schema evolution | Slowly Changing Dimensions | Step Functions
Education
N/A
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