Senior Data Engineer – 100% Remote
Tasks
- Analyze datasets for trends patterns and anomalies
- Automate data pipeline deployment with CI/CD
- Build Power BI dashboards and reports
- Deliver analytics solutions in Agile teams
- Design scalable data pipelines across cloud and on prem
- Develop and operate end to end ETL ELT workflows
- Develop and optimize dimensional data models
- Develop data marts and fact and dimension tables
- Develop predictive and descriptive machine learning models
- Generate business insights with statistical methods
- Implement data validation error handling logging monitoring and scheduling
- Integrate data from relational NoSQL APIs and files
- Manage and govern data lakes and data warehouses
- Optimize automate and tune ETL ELT processes
- Support analytics adoption and self service
Perks/Benefits
- Full time schedule 36 25 hours per week
- Occasional travel within Alberta
- Remote work
- Work performed within Canada
Skills/Tech-stack
AWS | Access Management | Agile | Automated testing | Azure | Azure Data | Azure Data Factory | CI/CD | DAX | Data Factory | Data Governance | Data Lake | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehouse | Data integration | Databricks | Dimensional Modeling | ELT | ETL | GCP | Lakehouse | Logging | Machine Learning | Metadata enrichment | Microsoft Fabric | Monitoring | Power BI | PySpark | Python | Release Management | SQL | SSIS | Scheduling | Snowflake Schema | Star Schema
Roles
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