Specialist Big Data Administrator - Giza Systems EG

• Manage and maintain our Big Data infrastructure including HBase Elastic search and Cloudera.
• Perform configuration tuning and ongoing optimization of big data infrastructure and applications.
• Develop and implement processes for data ingestion processing and storage.
• Work with other members of the DevOps team to troubleshoot and resolve issues related to Big Data systems.
• Work with data scientists and architects to understand their infrastructure and analytics needs and provide solutions.
• Collaborate with Data Engineers and Data Scientists to ensure data is available and accessible for analysis.
• Develop and maintain documentation related to Big Data systems and processes.
• Stay up to date with advances in big data technologies and tools. Research and recommend new solutions as needed.
• Educate and train junior DevOps team members on Big Data technologies and best practices.

• Good command of English language.
• Excellent analytical skills.
• Excellent interpersonal skills.
• Excellent written and verbal communication skills.
• Ability to prioritize and organize multiple assignments/tasks.
• Strong problemsolving mindset.
• Ability to adapt to constantly changing environment.

• Expertise in Hadoop ecosystem technologies such as HDFS Hive HBase Spark Kafka Flink and NiFi.
• Experience with Hadoopbased Ecosystems like Cloudera including its different compartments like CDP CDF and CML.
• Expertise in ELK Stack (Elastic Search Kibana LogStash) and administration of logging systems over them.
• Knowledge of distributed computing cloud computing architectures and data processing frameworks such as Apache Spark.
• Experience with data ingestion and processing tools such as Kafka and Flume.
• Strong communication and collaboration skills.
• Ability to train and educate junior team members on Big Data technologies and best practices.
• Ability to work independently and as part of a team.
• Eperties in Teradata PowerBI Server and Informatica as are a plus.

B.Sc. of Engineering or Computer Science or relevant