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Data, Engineer

Master-Works
Riyadh, KSA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 months ago
SQLPythonPySparkApache SparkTrinoApache Airflow

Full Job Posting

Key Responsibilities

  • Design, develop, and maintain ELT/ETL pipelines to produce clean, structured, and reliable datasets.
  • Build and maintain data orchestration workflows using Apache Airflow .
  • Develop and test data transformations using SQL, Python, and PySpark .
  • Monitor pipeline execution, troubleshoot processing issues, and proactively address SLA risks.
  • Administer and maintain lakehouse, object storage, Apache Spark, and Trino environments.
  • Build and maintain CI/CD pipelines using Bitbucket and Jenkins .
  • Manage user access, roles, permissions, and resource quotas across data platforms.
  • Monitor platform performance, respond to incidents, and perform system upgrades and patching.
  • Optimize storage configurations, including partitioning, data formats, and data retention.
  • Collaborate with Data Integration, Data Engineering, BI, and Analytics Engineering teams to support data initiatives.
  • Maintain infrastructure documentation, operational procedures, and technical runbooks.
  • Participate in capacity planning, platform optimization, and cost-management initiatives.
  • Provide coverage and support for Data Integration activities during team absences or periods of increased workload.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering , or a related field.
  • Minimum 5 years of relevant experience in Data Engineering or a related field.
  • Strong proficiency in SQL, Python, PySpark, Apache Spark, Trino, and Apache Airflow .
  • Hands-on experience with lakehouse architecture, object storage, and ELT/ETL development .
  • Practical experience with Bitbucket, Jenkins, and CI/CD practices .
  • Knowledge of access management, platform monitoring, incident response, and performance optimization .
  • Experience working with enterprise data platforms and supporting production data environments.

Key Skills & Experience

  • ELT/ETL Pipeline Development
  • Apache Airflow Orchestration
  • SQL, Python & PySpark
  • Apache Spark & Trino
  • Lakehouse Architecture & Object Storage
  • CI/CD using Bitbucket & Jenkins
  • Data Platform Administration
  • Access, Role, Permission & Quota Management
  • Pipeline Monitoring & Incident Resolution
  • Performance & Storage Optimization

Location

  • Client Site

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