Data Engineer

1 week ago


Riyadh, Ar Riyāḑ, Saudi Arabia Webook Full time

Join to apply for the Data Engineer role at webook.com We're All About Fun.

About The Job
Do you want to love what you do at work? Do you want to make a difference, an impact, 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 you're looking for. webook.com is Saudi's #1 private event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom and surpassing half a billion in sales. webook.com is part of the Supertech Group, which also consists 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
  1. 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.
  2. 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.
  3. 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.
Qualifications
  1. 5-6 years of experience as a Data Engineer or a related role in a data-driven organization.
  2. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, Airbyte, or any cloud-based data integration services.
  3. 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).
  4. Expertise in data modeling, data quality management, and metadata management.
  5. Proficient in programming languages such as Python or Java, and experience with SQL.
  6. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and DevOps practices.
  7. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
  8. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.
Preferred Qualifications
  1. Familiarity with data visualization and business intelligence tools (e.g., Tableau, Qlik, etc.).
  2. Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.
  3. 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Entertainment Providers

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