Network Big Data Sr. Engineer vois

**Role purpose: -**The Sr Big Data engineer is a core member of the agile teams delivering data pipelines and capabilities within the organization through building and automating data flows, and provides expert guidance and delivers through self and others to:1. Integrate the necessary data from several sources necessary for analysis and for Technology actions3. 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 platform4. Support stakeholders and functions in obtaining benefiting business value from the operational data**Key accountabilities and decision ownership****Core competencies, knowledge and experience**- Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results- Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations- Able to communicate effectively across organisational, technical and political boundaries, understanding the context- Understands 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 desirable- Excellent knowledge in UNIX/Linux administration and bash scripting- Expert skill level on Apache Nifi, Apache Kafka, CDAP, Apache Spark, Python programming, bash scripting, Apache Airflow- Very 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