Fintech Big Data Specialist
2 weeks ago
**Role purpose**: to work on delivering high quality automated data ingestion pipelines, E2E solutions development, and system upgrades
**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
**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
- 3+ 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.
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