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A leading brand in retail is seeking a Data Engineer to assist in designing and implementing scalable processes for managing large data sets. This is an exciting opportunity to work with cutting-edge technology and have a direct impact on the business.
Designing and implementing scalable processes to manage large data sets, ensuring quality and consistency across sources. This involves developing and maintaining data pipelines, creating optimal extraction patterns, and aligning cloud strategy with data architecture. As the Data Engineer, you will also engineer data formats for analytics, develop APIs for applications, and collaborate with stakeholders to deliver solutions while driving process improvements, enhancing scalability, and supporting testing and deployment of new features.Bachelor’s degree in computer science, business informatics, mathematics, statistics, engineering, or related fieldExperience with structured and unstructured data, data stores, RDBMS, and data warehousesProficiency in programming languages such as Python, Scala, Java, or CKnowledge of version control systems like Git and SVNExposure to AWS platform environments such as CodePipeline, CodeBuild, CodeDeployExperience in API development and cloud architectureAbility to work collaboratively in an agile environmentStrong communication skills to articulate complex data concepts to non-technical stakeholdersInnovative thinking and flexibility to adapt to changing business needsEnthusiasm for experimenting with new technologies and methodologies
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