# Data Engineer

**Company:** [SSC HR Solutions](null/companies/1ULsr4Bem27P2yEREYZFym.md)
**Location:** Cairo, Egypt
**Workplace:** on site
**Department:** Engineering

[Apply for this job](null/view/f9ff4cfc-c4fc-423f-87fa-edbcbf47c6b2)

## Description

**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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