Data Engineer

Supertech Group; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player in the event ticketing space is seeking a talented Data Engineer to join their innovative team. This role involves designing and implementing robust data integration and ETL pipelines, ensuring data quality, and managing data infrastructure to support analytics initiatives. The ideal candidate will have a strong background in data engineering, proficiency in tools like Apache Airflow and cloud platforms, and excellent problem-solving skills. Join a forward-thinking company dedicated to transforming the event experience and making a significant impact in the industry.

Qualifications

• 5-6 Jahre Erfahrung als Data Engineer oder in einer ähnlichen Rolle.
• Starke Kenntnisse in der Gestaltung und Implementierung von ETL-Pipelines.

Responsibilities

• Entwickeln und implementieren Sie robuste Datenintegrationspipelines.
• Sicherstellen der Zuverlässigkeit und Sicherheit der Dateninfrastruktur.

Skills

Data Integration

ETL Development

Data Governance

Problem-Solving

Communication Skills

Programming (Python, Java)

SQL

Tools

Apache Airflow

Airbyte

AWS

Google Cloud

Elastic

Google BigQuery

MongoDB

Tableau

Qlik

Job description

Do you want to love what you do at work? Do you want to make a difference, an impact, and 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 are looking for, webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of 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, 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.