Senior Data Warehouse Specialist

Support Studio Technologies
Department Icon Data Science Analytics & Machine Learning
Posted: 11 months ago
5-10 years
India
Data Science Analytics & Machine Learning
work from office
Full Time
Posted: 11 months ago
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Job Description

  • Role: Senior Data Warehouse Specialist
  • Key Responsibilities
  • 1. Data Warehouse Establishment & Strategy
  • Design and implement the overall Data Warehouse architecture (staging, integration, data marts, and analytics layers).
  • Develop a roadmap for enterprise data management aligned with business and digital transformation goals.
  • Define standards, governance policies, and best practices for data modeling, ETL, and master data management.
  • Ensure scalability to support future AI, predictive analytics, and IoT/Industry 4.0 initiatives.
  • 2. System Design & Development
  • Build and maintain ETL processes for extracting and transforming data from multiple operational systems (ERP, MES, SCADA, CRM, HR, Finance).
  • Develop data models and semantic layers to support analytics and reporting needs.
  • Integrate real-time production, maintenance, and quality data to enhance decision-making in manufacturing operations.
  • Implement performance optimization and data validation mechanisms for accuracy and efficiency.3. Data Integration & Automation
  • Create seamless integration across different systems (SAP, MES, SCADA, LIMS, etc.) using APIs, middleware, and automation tools.
  • Design automated data pipelines to reduce manual intervention and improve reliability.
  • Develop data quality and reconciliation frameworks for financial, production, and logistics data consistency.
  • Support automation initiatives by making structured data available for RPA and AI models.
  • 4. Business Intelligence & Advanced Analytics
  • Collaborate with business units to translate requirements into dashboards, KPIs, and analytical models.
  • Build SAC/Power BI / Tableau dashboards for operations, finance, sales, and production KPIs.
  • Support predictive analytics projects for demand forecasting, production optimization, and maintenance planning.
  • Partner with AI engineers and data scientists to operationalize machine learning models within the warehouse.
  • 5. Governance, Security & Compliance
  • Implement data governance policies ensuring compliance with Saudi cybersecurity and data protection regulations (NCA, SAMA, CITC).
  • Define access control, data privacy, and encryption mechanisms.
  • Ensure full data lineage, traceability, and auditability across systems.
  • Maintain comprehensive documentation and disaster recovery procedures.
  • Qualifications
  • Bachelors degree in Computer Science, Information Systems, or Data Engineering (Masters preferred).
  • Minimum 510 years of experience in data warehousing, data engineering, or BI, preferably in manufacturing or industrial sectors.
  • Strong experience with SQL, ETL tools (SSIS, Informatica, Talend), and data modeling (Kimball/Inmon).
  • Proficiency with cloud and on-prem data warehouse solutions (Azure Synapse, Snowflake, or SQL Server).
  • Experience integrating with SAP ERP, SCADA/MES, and industrial automation systems.
  • Knowledge of AI/ML data preparation and automation integration is a strong advantage.
  • Familiarity with cybersecurity and data governance frameworks in KSA.
  • Key Competencies
  • Strategic planning and execution
  • Strong analytical and problem-solving skills
  • Cross-functional collaboration with business and technical teams
  • Excellent communication and documentation skills
  • Ability to lead technical initiatives independently
  • Value Added to Organization
  • Establishes a unified enterprise data foundation for analytics and decision-making.
  • Enhances production efficiency through integrated data visibility.
  • Enables predictive and AI-driven insights to improve operations and reduce costs.
  • Strengthens governance, compliance, and data-driven culture across all subsidiaries.
  • If interested, kindly send your resume to [HIDDEN TEXT]

Skills

Advanced AnalyticsData ValidationData GovernanceData IntegrationData ModelingData PrivacyData WarehousingEtlErpMachine LearningPredictive AnalyticsRpaSnowflakeAi/mlAnalyticsData ManagementAiMlSql

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