Big Data Support Tech Lead

1 week ago


مصر, Egypt Vodafone Full time

**Role Purpose**:
Role purpose: to work on big data engineering pipelines, E2E solutions development, and system upgrades.

**Key Accountabilities and Decision Ownership**:

- Technical lead to the production services and providing the best customer experience in accordance with VF-EG strategy & following VF Group guidelines.
- Analyze performance reports in collaboration with Capacity and planning team reviewing performance reports. To maintain services and App performance and quality
- BI and BD clusters Operational jobs and services tuning and setup quality gates and alerts
- Effective supporting the finance monthly closing activities and the Bi-Weekly trade review reports
- Responsible for technical leading and put HO plan and training of new comers.
- Participation in review, and enhancement of operational processes with other cross-function departments
- Attend monthly closing till its finishing and full availability during closing period is a must
- Report to area supervisor resources performance and needed development plans
- Handle Cloudera manager administration
- Responsibility about cluster resources and storage health and vendor actions

**Must have technical / professional qualifications**:

- Bachelor of computer Science or related domains
- 6+ Years Engineering Experience in building and supporting mission critical user-facing, large-scale and distributed systems.
- Open source addict - Excellent experience in open source technologies like Java, Scala, Python, C/C++, NoSQL, node.js, Angular, AWS, Kafka, Cassandra, Rabitt MQ, Zookeeper, Thrift.
- Full understanding of private and public cloud design considerations - limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking, massive data storage, Hadoop, MapReduce, MemCache, Redis, Dockers/Containers and Elastic search.
- Fair Telecom knowledge
- having excellent knowledge in telecom industry and different data sources.
- Hands on experience in big data ecosystem.
- Fair knowledge in telecom industry and different data sources.
- Data integration experience is a must.


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