Data Engineer

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA. Key Responsibilities: Data Integration and ETL Development: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, Saa S applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows for performance and scalability. Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs. Ensure data infrastructure's reliability, security, and availability through monitoring, troubleshooting, and disaster recovery planning. Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures. Develop and maintain metadata management systems for data lineage, provenance, and traceability. Implement data quality control measures and validation processes to ensure data integrity. Minimum Requirements: 5-6 years of experience as a Data Engineer or in a related data-driven role. Proficient in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services. Strong experience with data infrastructure such as data lakes, data warehouses, and real-time streaming platforms (e.g., Elastic, Google Big Query, Mongo DB). Expertise in data modeling, data quality, and metadata management. Proficient in programming languages like Python or Java, and SQL. Familiar with cloud platforms (AWS, Google Cloud) and Dev Ops practices. Excellent problem-solving skills and ability to work collaboratively across teams. Strong communication skills to translate technical concepts to stakeholders. Preferred Qualifications: Experience with data visualization and BI tools (e.g., Tableau, Qlik). Knowledge of machine learning and AI applications in data initiatives. Project management experience and leadership in data projects. #J-18808-Ljbffr