Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)
Orlando, FL, United States
R
USD 100K-115K (estimate) Senior-level Full Time
Tasks
- Build data warehouse and data mart architectures
- Collaborate with business users to resolve issues
- Communicate with project managers and stakeholders
- Create indexes for workload performance
- Design data pipelines
- Develop SQL stored procedures and functions
- Develop data marts and schemas
- Develop data pipelines in AWS Glue
- Develop data pipelines in Airflow
- Implement ETL/ELT processes
- Mentor data engineers
- Monitor data warehouse and data marts
- Provide production support on call
- Provide systems communication with IT departments
- Report project status and issues weekly
- Troubleshoot production data issues
- Tune SQL queries for performance
Perks/Benefits
Skills/Tech-stack
APIs | AWS Glue | AWS Redshift | Amazon Web Services | Apache Airflow | Azure | Azure Data | Azure Data Factory | Cloud platform | Data Factory | Data Mart | Data Warehouse | Database Architecture | Dimensional Modeling | ELT | ETL | Golang | Google Cloud | Google Cloud Platform | Indexing | NoSQL | OLAP | PL/SQL | Python | Query Tuning | SQL | Stored Procedures | Systems Life Cycle | T-SQL | Web Services | Web development
Education
N/A
Roles
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