Saudi Arabia Job Openings
Giza Systems EG
Senior Big Data Engineer
Riyadh
October 29, 2024
Job Description
- Design and implement large-scale data processing systems and pipelines.
- Develop, test, and deploy robust big data solutions using technologies like Hadoop, Spark, and Kafka.
- Optimize data storage and retrieval strategies for performance and efficiency.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
- Ensure data quality, integrity, and security across big data platforms.
- Lead efforts in data modeling, schema design, and data warehousing.
- Perform data extraction, transformation, and loading (ETL) from various data sources.
- Monitor and troubleshoot data processing jobs to ensure reliability and performance.
- Mentor junior engineers and provide technical guidance to the team.
- Stay current with emerging big data technologies and best practices to drive continuous improvement.
Personal Skills
- Strong communication, interpersonal, and presentation skills.
- Ability to multi-task and work under pressure.
- Excellent command of English.
- Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.
Technical Skills
- Big Data Technologies: Expertise in Hadoop, Spark, Kafka, and related ecosystems.
- Programming: Proficient in Java, Scala, and Python for data processing and pipeline development.
- Data Modeling: Strong skills in designing data models and schema for big data applications.
- ETL Processes: Advanced knowledge of ETL (Extract, Transform, Load) techniques and tools.
- Database Management: Experience with No SQL databases like Cassandra, Mongo DB, and HBase.
- Cloud Platforms: Proficient in using AWS, Azure, or Google Cloud for big data solutions.
- Performance Tuning: Ability to optimize data processing systems for performance and scalability.
- Data Security: Understanding of data security principles and best practices.
- Collaboration: Strong teamwork and communication skills for cross-functional collaboration.
- Problem-Solving: Excellent analytical and problem-solving abilities to address complex data challenges.
Education
Job Details
Preferred Candidate
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