Azure Data Engineer

Valleysoft | Center of Excellence

. Build, maintain, and optimize Azure-based data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or equivalent Azure data technologies .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Azure Data Engineering, focusing on building and optimizing data pipelines, implementing data governance, and ensuring data quality. Proficient in collaborating with cross-functional teams to deliver reliable data solutions and support operational health.

Highest-signal resume keywords

Azure Data FactoryAzure Synapse AnalyticsAzure DatabricksAdvanced SQL DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationMetadata ManagementCI/CD PracticesPythonApache SparkData Quality ManagementIncident TrackingRoot-Cause AnalysisData Cataloging

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Microsoft PurviewVelocityTheobaldAgileScrum

Industry Keywords

Data Governance FrameworksCloud-Based SolutionsEnterprise Data IntegrationOperational Health MonitoringData Engineering Best Practices

Tech Stack

Tools & technologies

ApacheAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Build, maintain, and optimize Azure-based data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or equivalent Azure data technologies
Integrate SAP and other enterprise data sources into Azure using Velocity, Theobald, or similar integration technologies
Design and optimize scalable data ingestion, transformation, and orchestration solutions
Implement data governance, lineage, cataloging, and metadata management requirements using Microsoft Purview
Support data quality management processes in collaboration with Pulse
Provide L1.5–L3 support for data platform incidents, pipeline failures, and production issues
Monitor data loads, platform performance, and operational health, resolving issues proactively
Collaborate with business, analytics, and data engineering teams to deliver reliable data solutions
Document data architecture, integration patterns, data flows, and operational procedures
Implement enhancements and operational improvements across the Intelligent Data Platform
Apply CI/CD practices and data engineering best practices to improve reliability and maintainability

Requirements

What you’ll need

Hands-on experience delivering Azure data engineering solutions in a mid-level individual contributor capacity
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or equivalent Azure data engineering technologies
Advanced SQL development skills, with experience using Python and/or Apache Spark for data engineering and data transformation
Experience integrating SAP data sources into cloud platforms
Hands-on experience troubleshooting production data pipelines and supporting Azure data platform operations across L1.5–L3 support tiers, including investigating pipeline failures, resolving data load and transformation issues, and monitoring platform performance and operational health
Strong understanding of data governance, lineage, metadata management, and data quality concepts
Understanding of CI/CD principles for reliable data engineering delivery
Experience collaborating with data engineering and other technical teams on data pipelines, integrations, troubleshooting, and production support
Experience collaborating with business and analytics teams to understand data requirements and ensure data availability and quality
Fluency in English
3+ years of Azure data engineering experience (preferred)
Experience with incident tracking and root-cause analysis (preferred)
Hands-on experience configuring or implementing Microsoft Purview or other enterprise data cataloging solutions (preferred)
Experience implementing cloud-based governance frameworks (preferred)
Hands-on experience with deployment pipelines for Azure data workloads, version control, automated testing, and release and change management (preferred)
Experience working in Agile or Scrum teams and following development, testing, deployment, and production support processes (preferred)
Experience working with SAP teams, enterprise system owners, and stakeholders responsible for source systems and data governance (preferred)

Benefits

Comp & perks

Private Health Insurance
Training & Development