Network Big Data Engineer

5 days ago

مصر, Egypt Vodafone Full time

Role purpose:
The Big Data Engineer provides expert guidance and delivers through self and others to:
1. Integrate the necessary data from several sources in the Big Data Programme necessary for analysis and for Technology actions;
3. Deliver and implement core capabilities (frameworks, platform, development infrastructure, documentation, guidelines and support) to speed up the Local Markets and tenants delivery in the Big Data Programme, assuring quality, performance and alignment to the Group technology blueprint of components releases in the platform
4. Support local markets, tenants and Group functions in obtaining benefiting business value from the operational data

Key accountabilities and decision ownership:

- Design and implement core platform capabilities, tools, processes, ways of working and conventions under agile development to support the integration of the LM and tenant’s data sourcing and use cases implementation, towards reusability, to easy up delivery and ensure standardisation across Local Markets deliverables in the platform.
- Support the distributed data engineering teams, including technical support and training in the Big Data Programme frameworks and ways of working, revision and integration of source code, support to releasing and source code quality control
- Working with the Group architecture team to define the strategy for evolving the Big Data capability, including solution architectural decisions aligned with the platform architecture
- Defining the technologies to be used on the Big Data Platform and investigating new technologies to identify where they can bring benefits

Core competencies, knowledge and experience:

- Experience building systems to perform real-time data processing using Spark Streaming, Flink, Storm or Heron data processing frameworks, and Kafka, Beam, Dataflow, Kinesis or similar data streaming frameworks;;
- Experience with common SDLC, including SCM, build tools, unit, integration, functional and performance testing from automation perspective, TDD/BDD, CI and continuous delivery, under agile practises
- Experience working in large-scale multi tenancy big data environments;
Must have technical / professional qualifications:

- Expert level experience with Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn); desirable experience with Cloudera distribution; experience with similar cloud provider solutions also considered (AWS, GCP, Azure)
- Strong software development experience in Scala and Python programing languages; Java and functional languages desirable;
- Experience with Unix-based systems, including bash scripting
- Experience with columnar data formats
- Experience with other distributed technologies such as Cassandra, Splunk, Solr/ElasticSearch, Flink, Heron, Bean, would also be desirable.

_VOIS #Movewithus

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