Data Engineer
2 days ago
**Role purpose**:
The Data engineer is a core member of the agile teams delivering data pipelines and data governance capabilities within the organization through building and automating data flows across all Analytics and Autonomics domain.
**Key accountabilities and decision ownership**:
- Build, test, monitor and maintain a highly scalable data management ecosystem.
- Execute architected techniques and solutions for data collection, management and usage.
- Extreme focus on detail and data quality validation and data governance.
- Design, Build and Develop Automated Data pipelines across the different platforms.
**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**:
- Good knowledge in UNIX/Linux administration
- Experience with SQL / Python / Data Structures and Algorithms.
- Very Good Knowledge in Cloud infrastructure Preferable GCP and AWS.
- Good knowledge in Big Data and Data Science technologies
- Good knowledge in data catalogue tools (e.g., Collibra).
- Familiar with data movement techniques and best practices to handle large volumes of data.
- Experience with data warehousing architecture and data modelling best practices.
- Hands-on experience in data modelling, data visualization, and pipeline design & development
- Experience with File Systems, server architectures, and distributed systems.
- familiar with DevOps toll stack (e.g., Ansible, github, Chef)
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