JOB DETAILS:
Position Title: Data Engineer
Reports to: Data and AI Manager
Business Line/ Department: Data and Automation/it
3. JOB PURPOSE:
The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.
4. Job Deliverables - Accountability
Description
Deliverables
Pipeline Success Rate ≥99%
Data Freshness SLA Meets agreed refresh schedule
Data Quality Score ≥95%
Pipeline Documentation 100%
Incident Response ≤2 hours for pipeline failures
5. Know How (applying of knowledge & skills in job tasks)
Description
Data Pipeline Development
• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.
• Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse.
• Monitor pipeline performance and resolve data failures promptly.
Requirements
Data Quality
• Implement data quality checks and validation within pipelines.
• Collaborate with Data Analysts and BI Developers to resolve data issues.
• Maintain data lineage and documentation for all pipelines.
Note: The principal accountabilities listed above are an illustrative list and not an exhaustive list. Additional responsibilities may be added from time to time depending on organizational requirements.
6. QUALIFICATIONS, EXPERIENCE:
Minimum Qualification
Bachelor degree in Computer Science, Data Engineering, or IT.
Certified in Azure Data Engineer Associate preferred
Minimum Experience
Minimum Experience of 3–5 years in data engineering.
Other Requirement (Skills Set)
Azure Data Factory, Synapse Analytics, Databricks
SQL, Python, Spark for data transformation
D365 data integration: OData, Data Integrator, dual write
Data quality and testing in pipelines
Git and Azure DevOps for pipeline code management
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