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Company Description
Skyetron is a global technology innovator delivering AI-driven and sustainable cybersecurity solutions that empower organizations to operate securely in an increasingly complex digital environment. We specialize in intelligent cyber defense, risk intelligence, and automation platforms that transform security challenges into strategic advantages.
By integrating artificial intelligence with sustainability principles, Skyetron helps enterprises strengthen resilience, improve operational efficiency, and future-proof digital ecosystems—contributing to a smarter, safer, and greener digital world.
Position: Data Warehouse Expert (Urgent Short-Term Contract)
📍 Location: Doha, Qatar
🗓 Contract Duration: 6 Months
⏳ Start Date: Immediate
🛫 Open to candidates in Qatar or overseas ready for immediate deployment. Email CV's to [email protected]
Role Purpose
The Data Warehouse Expert is responsible for the design, integration, optimization, and governance of enterprise data warehouse and analytics platforms. This role ensures reliable data consolidation, high performance, data quality, and secure access across multiple systems to support operational, reporting, and decision-making needs.
Key Responsibilities
Data Architecture & Modeling
Design and govern enterprise data warehouse architecture (star/snowflake schemas)
Develop logical and physical data models for structured and semi-structured data
Ensure scalability, performance, and maintainability of data platforms
Data Integration & ETL/ELT
Design, develop, and optimize ETL/ELT pipelines using tools such as SSIS, Talend, Informatica, Azure Data Factory, or equivalent
Integrate data from ERP, CRM, network systems, security platforms, applications, and IoT sources
Validate data accuracy, consistency, and completeness
Performance Optimization
Tune queries, indexes, partitions, and materialized views
Optimize storage, compression, and compute utilization
Ensure high availability and fault tolerance
Data Governance & Security
Implement data quality rules, validation checks, and data lineage tracking
Enforce access controls, encryption, and compliance with data protection policies
Support data audits and compliance requirements
Reporting & Analytics Enablement
Support BI tools (Power BI, Tableau, Qlik) and self-service analytics platforms
Enable near real-time dashboards and reporting
Collaborate with stakeholders to define KPIs and reporting frameworks
Documentation & Acceptance Readiness
Maintain data dictionaries, integration maps, and data lineage documentation
Support acceptance testing and final handover documentation
Ensure readiness for operational and compliance acceptance
Required Skills & Experience
Minimum 6+ years of hands-on experience in data warehousing and analytics platforms
Strong SQL and performance tuning expertise
Experience with Microsoft SQL Server, Oracle, PostgreSQL, or cloud data warehouses (Azure Synapse, Snowflake, BigQuery, Redshift)
Hands-on ETL/ELT pipeline development experience
Experience integrating data from multi-source enterprise systems
Understanding of data security, privacy, and compliance requirements
Certifications (Preferred)
Microsoft Data Engineer / Azure Data Engineer
Snowflake, AWS Data Analytics, or equivalent
ITIL / PMP (advantage)
Key Competencies
Analytical and architectural thinking
Strong data quality and governance discipline
Performance optimization mindset
Documentation and compliance focus
Stakeholder collaboration and communication
Success Metrics
High data accuracy and consistency
Optimized query performance and platform stability
Successful acceptance testing and compliance validation
Timely delivery of dashboards and reporting frameworks
Key Skills
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