Data & Insights Engineer, Customer Solutions
Tasks
- Build and maintain SQL Python ETL ELT pipelines
- Create reports dashboards and analytical recommendations
- Design build and maintain data models and customer datasets
- Explore large scale datasets and deliver insights
- Monitor data accuracy and resolve pipeline and dashboard failures
- Process retail product price and promotion data
- Run customer workshops and iterate on feedback
- Support product adoption and resolve data and reporting inquiries
- Translate customer business needs into technical deliverables
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Data Matching | Data Modeling | Data Quality | Data Warehousing | Docker | ELT | ETL | Entity Resolution | Git | Jira | Jupyter | Kubernetes | Monitoring | Pandas | PostgreSQL | Power BI | Python | Retool | SQL | Snowflake | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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