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Data Engineering Consultant
2 weeks ago
Job Description:
About the Role:
PRYMO DRC seeks an experienced Data Engineering and Business Intelligence Consultant to design, automate, and deploy a cloud-based data and analytics environment, enabling real-time insights across multiple business units. The consultant will deliver a turnkey solution, ensuring seamless data flow from source systems to Power BI dashboards, with optional periodic maintenance and optimization sessions.
Key Responsibilities:
Data Architecture & Automation
- Design and implement data pipelines (ETL) for integrating and transforming data from multiple sources (bank statements, mobile money APIs, CSVs, etc.).
- Automate data refresh and report publication using Power BI Service and cloud scheduling tools.
- Ensure data consistency, traceability, and high availability.
Business Intelligence & Visualization
- Build interactive Power BI dashboards with drill-down capabilities for management, finance, and operations teams.
- Define KPIs and reporting structures aligned with PRYMOs business needs (daily balances, transactions per network, volumes by corridor, etc.).
- Train internal staff for report usage and basic troubleshooting.
Cloud Infrastructure & Storage
- Set up and manage a secure cloud environment (Azure preferred) for hosting data, ETL processes, and Power BI datasets.
- Implement user access control, backup policies, and data protection mechanisms.
Maintenance & Support
- Provide periodic technical support and optimization.
- Deliver documentation on data architecture, workflows, and maintenance procedures.
Required Skills & Expertise:
- | Domain | Required Tools / Knowledge |
- | Programming | Python (data cleaning, automation, API integration) |
- | Data Integration (ETL) | SSIS, Talend, or equivalent ETL frameworks |
- | Business Intelligence | Power BI (DAX, Power Query, Gateway setup, Workspaces) |
- | Data Analysis | Advanced Excel (Pivot, Power Query, automation) |
- | Cloud Infrastructure | Microsoft Azure (Data Lake, Blob Storage, Power BI Service, Automation) |
- | Collaboration | GitHub / Teams / SharePoint / Notion documentation practices |