Senior Data Engineer

WEbook, Inc.; Riyadh; On-site; SAR 120,000 - 160,000; Full time

Job summary

A leading event ticketing platform in Saudi Arabia is looking for a seasoned Data Engineer to architect and implement robust data integration solutions. This role demands expertise in ETL development and managing data infrastructure. Candidates should have 5-6 years of experience in data-driven environments, proficiency in Python or Java, and familiarity with cloud computing platforms. The ideal candidate will have strong problem-solving skills and the ability to collaborate across teams. Competitive salary and benefits offered.

Benefits

Competitive salary

Health benefits

Opportunities for advancement

Qualifications

• 5-6 years of experience as a Data Engineer or related role in a data-driven organization.
• Proficient in programming languages such as Python or Java.
• Familiarity with cloud computing platforms and DevOps practices.

Responsibilities

• Architect and implement robust data integration pipelines.
• Design and develop complex ETL processes ensuring data quality.
• Collaborate with the data governance team to establish data policies.

Skills

Data integration and ETL pipelines

Data modeling

Problem-solving

Collaboration

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Google Bigquery

MongoDB

AWS

Tableau

Job 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.

• 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