Design and implement scalable big data architectures to handle large volumes of data.
- Develop and optimize data processing pipelines using technologies such as Hadoop, Spark, and Kafka.
- Collaborate with data scientists and analysts to provide data insights and support advanced analytics.
- Manage and maintain big data platforms, ensuring high availability and performance.
- Perform data extraction, transformation, and loading (ETL) tasks from various data sources.
- Implement data security measures to protect sensitive information.
- Monitor and troubleshoot data processing systems to ensure reliability and efficiency.
- Evaluate and integrate new big data technologies to enhance data processing capabilities.
- Provide technical leadership and guidance to the data engineering team.
- Stay abreast of industry trends and advancements in big data technologies to drive innovation.
• *Personal Skills**:
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.
• *Technical Skills**:
- Big Data Technologies: Proficient in Hadoop, Spark, Kafka, and related ecosystems.
- Programming Languages: Strong coding skills in Java, Scala, Python, or R.
- Data Processing: Expertise in ETL processes and data pipeline development.
- Database Management: Knowledge of NoSQL databases like Cassandra, MongoDB, and HBase.
- Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud for big data solutions.
- Data Analysis: Advanced analytical and problem-solving skills.
- Performance Optimization: Ability to optimize big data architectures for performance and scalability.
- Data Security: Understanding of data security practices and tools to safeguard data.
- Collaboration: Strong team collaboration skills, working with data scientists, analysts, and other stakeholders.
- Continuous Learning: Commitment to staying updated with the latest trends and advancements in big data technologies.
• *Job Details**:
- Job Location
- Riyadh, Saudi Arabia
- Company Industry
- Integration
- Company Type
- Employer (Private Sector)
- Job Role
- Engineering
- Employment Type
- Employee
- Job Division
- CTO
- Career Level
- Mid Career
- Years of Experience
- Min: 7 Max: 12
- Degree
- Bachelor's degree
This job has been sourced from an external job board.
