Job Description

Key Accountabilities

ETL Fundamentals: Demonstrate a strong understanding of ETL concepts, data warehousing, data modelling, & data integration strategies. Expertise in Data Engineering, data integration tools to design, develop, and deploy ETL (Extract, Transform, Load) processes. Programming Skills: Proficient in SQL, Python, scripting languages, and other relevant technologies to handle complex integration scenarios. Business Intelligence: BI professional skilled in designing, developing, and implementing data analytics solutions using Qlik's suite of tools, including Qlik Sense, QlikView, and Qlik Cloud. Data Quality: Ensure data quality, consistency, and accuracy across integrated systems by implementing data governance practices. Data Platform Expertise: Talend, Qlik, Vertica, Kafka, Spark, S3/MinIO/VAST, Airflow, Datahub, AWS Services. Monitoring and Maintenance: Monitor data integration jobs, troubleshoot issues, and perform routine maintenance tasks. Documentation: Maintain clear and comprehensive documentation of integration processes, configurations, and best practices.

Qualifications

Bachelor's or master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics)

Experience

Proven experience (8+ years) in leading data and analytics functions, preferably in a big data environment. Strong knowledge and expertise in big data technologies (e.g., Hadoop, Spark, NoSQL databases) and cloud-based data platforms. Proficient in advanced analytics techniques, such as predictive modeling, machine learning, and data visualization. Familiarity with data governance frameworks and data privacy regulations (e.g., GDPR, CCPA). Excellent leadership and team management skills, with a track record of building and developing high-performing teams. Strong business acumen and the ability to translate business requirements into data-driven solutions. Excellent communication and presentation skills, with the ability to effectively convey complex concepts to non-technical stakeholders.

Skills

Good written and verbal communication skills are a requirement. Excels at delivering results in a fast-paced, ambiguous environment. Fluent in English, Arabic is a plus. Design Thinking Business Intelligence Strategy Data Analysis and Interpretation Data Visualization and Reporting Team Leadership and Management Data Governance and Quality Assurance Business Requirements Gathering Stakeholder Management Business Process Improvement Data Warehouse Design and Architecture & Data Modeling ETL Processes and Tools Data Integration and Data Quality * Strong Analytical and Problem-solving Skills