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Join us as a Data Engineer, who is responsible for delivering the technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions coming up with the ETL process design of the Foundational / Consolidated and Business data Products for the Tesco Tenancy on EDP. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.
Job Responsibility
delivering the technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions coming up with the ETL process design of the Foundational / Consolidated and Business data Products for the Tesco Tenancy on EDP
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
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
Requirements
Experience in ETL / data processing / data warehousing / data product management
Preferred AWS cloud development, with a strong understanding of AWS services and Python programming language
Experience in leading the high performing teams
Delivering data products on AWS
Understanding of CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment
Experience in Data Processing and ETL in On-prem and Cloud based systems
Strong communication skills and ability to work in a collaborative team environment
Understanding of data architecture, data governance, data security and production support
Nice to have
Experience with AWS services and integrations and Agile development practices
Familiarity with databases (SQL/NoSQL), Databases, Data pipelines, Data consumption patterns