Informacje o stanowisku

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Responsibilities

• Designing and delivering data models/schemas
• Designing, building and maintaining data pipelines that create efficient data science and data analyst data marts, ensuring solutions are optimised for processing of typical queries and reducing repetitive processing
• Identifying and implementing ways to increase efficiency and improve data reliability through automation
• Completing all relevant testing to ensure code is de-bugged and the data marts and tools are robust and accurate
• Recommending on how data should be structured to deliver optimum user experience at the right speed while minimising platform cost
• Creating and maintaining both technical and user documentation (including data dictionaries)
• Reporting on data quality and recommending ways to increase data cleanliness and improve our cleansing activities
• Recommending methodologies for matching and transforming data (Unified Consumer View)

Skills and Experience

• Significant experience of working within a data and analytics team to deliver data and tools into a data-driven community
• Practical knowledge of designing, implementing and using relational, graph, noSQL databases
• Proven technical skills with Hadoop and a broad range of associated technologies, such as Python, Spark, HIVE, NoSQL, SQL, Dataiku, Talend, Linux, Java, Jenkins, Azure, S3, and others
• Experience with big data platforms, data architecture and design techniques and working with large data sets
• Excellent communication to senior stakeholders and peers, and the ability to translate technical concepts, and their impacts on the business, to non-technical audiences
• A collaborative approach to delivery with an owner mindset
• Very good knowledge of English in speech and writing
• At least communicative knowledge of Polish language

Ref. code: 3105

Posted on: 10 Jan 2025

Experience Level: Experienced Professionals

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