Big Data expert - Giza Systems EG
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Job Description
Job Description
- 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 problemsolving 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
Preferred Candidate
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Employment Type
Full Time
