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Fintech Big Data Tech Lead

2 weeks ago

مصر, Egypt Vodafone Full time

**Description**:
To work on delivering high quality automated data ingestion pipelines, E2E solutions development, and system upgrades

**Job Responsibility**:
**Key accountabilities and decision ownership**:

- Design scalable & reliable data ingestion solutions
- Manage day-by-day tasks in queue according to priorities set in sprint planning meetings.
- Work closely with different commercial teams to deliver E2E value
- Ensure on time high quality deliverables for all data ingestion pipelines within big data platform
- Plan releases and provide proper support to released packages

**Key performance indicators**:

- Perform coding tasks with highest quality standard in planned time.
- Show “Can do” attitude in complex and mission impossible tasks especially in tough dead lines
- Pay attention for business and system architecture details.

**Role Requirements**:
**Core competencies, knowledge, and experience**
- Passionate about Quality. Passionate about writing highly optimized and bug-free code
- Agile - Familiar with Agile methodologies such as Scrum and Kanban
- Team Player. Enjoy collaborating with, learning from, and teaching others.
- Empathy for customers - Desire to serve customers first.

**Must have technical / professional qualifications**:

- Bachelor of computer Science or related domains
- 5+ Years experience in building and supporting mission critical user-facing, large-scale and distributed systems.
- Hands on experience in developing Apache spark data pipelines.
- Open source addict - Excellent experience in open source technologies, frameworks and languages like Java, Scala, Python, C/C++, NoSQL, node.js, Angular, AWS, Kafka, Cassandra, RabbitMQ.
- Fair 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.
- Fair Telecom knowledge
- having fair knowledge in telecom industry and different data sources.
- Hands on experience in big data ecosystem and tools specially spark, hive, and Kafka
- Fair knowledge in telecom industry and different data sources.
- Data integration experience is a must.