Senior Data Engineer

Tasks

• Build semantic layers
• Build transformation pipelines
• Define metric consistency
• Design dimensional models
• Develop AI agents
• Develop reports and dashboards
• Document data sets
• Estimate sprint stories
• Implement data quality checks
• Mentor engineers
• Monitor pipeline performance
• Troubleshoot pipeline issues

Perks/Benefits

• N/A

Skills/Tech-stack

Airflow | Azure Data | Azure Data Factory | DBT | Data Factory | Data Modeling | Data Quality | Dimensional Modeling | ELT | ETL | Git | Microstrategy | Power BI | Query Optimization | SQL | Semantic layer | Snowflake | Snowflake Schema | Star Schema | Window Functions