Network Big Data Sr. Engineer Vois
1 month ago
1. Integrate the necessary data from several sources necessary for analysis and for Technology actions
2. Build applications and products that make use of large volumes of data and generate outputs that allow actions that generate incremental value
3. Deliver and implement core capabilities (frameworks, platform, development infrastructure, documentation, guidelines and support) to speed up delivery in the Big Data Programme, assuring quality, performance and alignment to the Group technology blueprint of components releases in the platform
4. Support stakeholders and functions in obtaining benefiting business value from the operational data
Key accountabilities and decision ownership Designing and producing high performing stable end-to-end applications to perform complex processing of batch and streaming massive volumes of data in a multi-tenancy big data platform in the cloud (Hadoop on-premises will be consider), and output insights back to business systems according to their requirements.
Core competencies, knowledge and experience
Bachelor degree in Computer Science, Engineering or a related subjectExperience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver resultsConfident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizationsAble to communicate effectively across organisational, technical and political boundaries, understanding the contextUnderstands business requirements, Drives improvements and process innovation
Must have technical / professional qualifications:
Expert level experience with Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn); Cloudera distribution; experience with similar cloud provider solutions also considered (AWS, GCP, Azure)Strong hands-on software development experience in Python programming; Scala, Java desirableExcellent knowledge in UNIX/Linux administration and bash scriptingExpert skill level on Apache Nifi, Apache Kafka, CDAP, Apache Spark, Python programming, bash scripting, Apache AirflowVery Good knowledge with data movement techniques and best practices to handle large volumes of data.Experience with data warehousing architecture and data modelling best practices.Experience with File Systems, server architectures, and distributed systems.Google Cloud certified Professional Data Engineer and/or Cloud Architect
#_VOIS
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