Senior Data Engineer

Location: Riyadh, Riyadh Province, Saudi Arabia

Department: Technology

Workplace: on_site

Employment Type: full

Description

Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples 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 you're looking for ,webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales. 

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, SaaS applications, APIs, and flat files) into a centralized data platform.
• Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
• Optimize data transformation workflows to improve performance and scalability.
• Data Infrastructure and Platform Management:
• Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
• Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
• Data Governance and Metadata Management:
• Collaborate with the data governance team to establish data policies, standards, and procedures.
• Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.
• Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.

Requirements

• 5-6 years of experience as a Data Engineer or a related role in a data-driven organization.
• Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.
• Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb).
• Expertise in data modeling, data quality management, and metadata management.
• Proficient in programming languages such as Python, or Java, and experience with SQL.
• Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.
• Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
• Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

Preferred Qualifications:

• Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).
• Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.
• Project management experience and the ability to lead data integration and infrastructure initiatives.
• If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity