Analytics Engineer
Houston, TX, United States
R
USD 119K-234K (estimate) Senior-level Full Time
Tasks
- Build and maintain ETL/ELT pipelines
- Conduct code reviews and recommend improvements
- Create and maintain technical documentation
- Design and maintain enterprise data warehouse structures
- Design and maintain semantic models
- Develop SQL queries stored procedures and transformations
- Develop and automate data quality checks validation and monitoring
- Develop and maintain certified datasets
- Develop and support Azure Data Factory data pipelines
- Establish SQL and data modeling and pipeline standards
- Establish data definitions relationships calculations and business logic
- Implement error handling logging alerting and recovery
- Monitor data pipelines troubleshoot and resolve failures
- Optimize SQL queries data models and pipelines for performance
- Perform platform performance tuning for reliability and efficiency
- Translate business requirements into scalable data models
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Modeling | Data Monitoring | Data Quality | Data Validation | Data Warehousing | Data pipeline | Data pipeline troubleshooting | Dimensional Modeling | ELT | ETL | Git | Microsoft Fabric | Performance Tuning | Pipeline troubleshooting | Power BI | Relational databases | SQL | Semantic Modeling | Stored Procedures | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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