Analytics Engineer
Tasks
- Automate workflows using Python
- Build and maintain analytical datasets
- Build data ingestion and automation using SQL Python and APIs
- Contribute to scalable data products and cloud enabled platforms
- Design and maintain semantic models
- Develop Power BI datasets reports dashboards
- Improve data accessibility documentation and reuse
- Integrate data from multiple business systems and files
- Modernize reporting automation and data workflows
- Partner with stakeholders to translate requirements
- Perform data quality validation and reliability improvements
- Support Power Automate and SharePoint workflows
- Transform data using SQL
- Troubleshoot production issues and data anomalies
Perks/Benefits
- 401k
- Career growth opportunities
- Dental insurance
- Disability insurance
- Health insurance
- Hybrid work environment
- Learning and development opportunities
- Life insurance
- Paid Holidays
- Paid time off
Skills/Tech-stack
API | Amazon Redshift | Azure | Azure Synapse | BigQuery | CI/CD | DAX | DBT | Data Observability | Data Quality | Databricks | ELT | ETL | Git | Lightweight Pipelines | Power Automate | Power BI | Python | SQL | Semantic Modeling | SharePoint | Snowflake | Version control
Education
N/A
Regions
Countries
States
Cities
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