Data Engineer

Valleysoft | Center of Excellence

. Build and maintain data pipelines across SAP, Microsoft Azure, and the analytics landscape using Velocity, Theobald, and Intelligent Data Platform (IDP).

Posted 10/27/2026full-timeRemote • EgyptMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines using SAP, Microsoft Azure, and data integration tools like Velocity and Alteryx. Proficient in ETL/ELT processes, data quality assurance, and collaboration with cross-functional teams to ensure data reliability and availability.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesSQL DevelopmentPython ScriptingAzure Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETLELTSQL DevelopmentPython ScriptingData Quality AssuranceData WarehousingData IntegrationData ValidationData Monitoring

Soft Skills

Business-Fluent English CommunicationCollaboration

Tools & Technologies

VelocityTheobaldAlteryxIntelligent Data Platform (IDP)Azure

Industry Keywords

Data EngineeringAgileScrumSAP Data EcosystemsEnterprise Analytics

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Build and maintain data pipelines across SAP, Microsoft Azure, and the analytics landscape using Velocity, Theobald, and Intelligent Data Platform (IDP).
Implement data preparation and transformation workflows with Alteryx.
Provide L1.5-L3 support for data pipeline incidents by monitoring, troubleshooting, and resolving failures.
Support data quality processes in partnership with Pulse.
Document data flows and pipeline architecture.
Deliver pipeline enhancements and new capabilities.
Collaborate with business and technical teams to ensure reliable data availability and quality.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Experience in ETL/ELT pipeline development and troubleshooting production data pipelines; ideally, you bring 3+ years in data engineering, ETL, or data integration roles.
Strong SQL development and scripting skills, along with experience working with Python.
Hands-on experience with Velocity, Theobald, and Alteryx, or similar data integration tools.
Experience with Azure data services and cloud-based data architectures.
Knowledge of data quality, validation, and monitoring practices, along with a solid understanding of data warehousing and data integration concepts.
Experience working in Agile/Scrum delivery environments.
Business-fluent English communication skills.
Exposure to SAP data ecosystems and enterprise analytics platforms is a plus.

Benefits

Comp & perks

Private Health Insurance
Training & Development