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Join us as a Data Engineer at Barclays where your role will focus on building data pipelines, understanding requirements, implementing data engineering requirements and production support for a global team, both based in the US and in Glasgow. To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Job Responsibility:
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
Consult on complex issues
providing advice to People Leaders to support the resolution of escalated issues
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
Take ownership for managing risk and strengthening controls in relation to the work done
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises to solve problems creatively and effectively
Communicate complex information
Influence or convince stakeholders to achieve outcomes
Requirements:
Experience with Python
Experience with AWS Glue
Experience with Athena
Experience with S3
Experience with VPC
Experience with Redshift
Knowledge of dbT
Knowledge of Snowflake
Knowledge of Databricks
To be assessed on key critical skills such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
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