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As a Cloud Data Engineer, you will design and maintain data analytic road maps and data structures that support business and technology objectives. Naturally inquisitive and open to exploration of underlying data, finding valuable insights and work with functional areas to drive identified actions. You enjoy working both autonomously and as part of a team and have the confidence to influence and communicate with stakeholders at all levels, and to work in a fast-paced complex environment with conflicting priorities.
About the role:
You will be working on client projects with teams from across our Modern Data Platform and Applied Intelligence practice alongside our industry, functional and technology SMEs on some of our clients most challenging projects. Reporting to the delivery lead, you will deliver digestible, contemporary and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation.
From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise and hybrid client technology landscapes. We are looking for 3+ years of experience in data engineering in a customer or business facing capacity and experience in the following:
Ability to understand and articulate requirements to technical and non-technical audiences
• Stakeholder management and communication skills, including prioritising, problem solving and interpersonal relationship building
• Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment,
• Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.
• A strong understanding of data modelling, data structures, databases, and ETL processes
• An in-depth understanding of large-scale data sets, including both structured and unstructured data
• Strong SQL and/or Python knowledge
• Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment
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