Senior Data Engineer
- المدينة
- الرياض
- نوع العمل
- حضوري
- تاريخ النشر
- 3 يونيو 2026
- المجال
- تحليل البيانات
عن الوظيفة
• Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets. • Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data. • Participates in evaluation and deployment of big data tools, relevant to the development.
• Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization. • Optimize and tune data systems for performance and reliability. • Develop and implement data models and schemas to support business intelligence and analytics needs.
اقرأ الوصف كاملاً
• Monitor and troubleshoot data pipelines to ensure smooth and efficient operation. • Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure. • Document data engineering architectures and follow best practices.
Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, or a related field. • 5+ years of experience as a Data Engineer or similar role. • Strong programming skills in Python. • Experience with UNIX system administration using command line.
• Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka, Proficiency in SQL and experience with relational databases. • Knowledge of data modeling, ETL processes, and data warehousing solutions. • Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
• Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO. • Experience in enhancing the performance of big data applications, including optimizing system operations.