Cloud Architect

Capgemini
London
1 month ago
Applications closed

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Get The Future You Want!

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.

Your Role

We are seeking a highly skilled and experienced Senior Cloud Platform Data Engineer (SME) to join our dynamic Payment Gateway team in Northampton,UK for a Full time Hybrid role. As an SME you will serve as a subject matter expert providing technical leadership guidance and best practices across the team.

You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality scalability and performance. Serve as a subject matter expert in cloud data engineering providing technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents. Develop and maintain CI/CD pipelines for data engineering workflows using tools like Jenkins. Automate data ingestion transformation and loading processes. Work closely with DevOps teams and other engineering teams to ensure smooth deployment and operations of data pipelines. Experience working on Linux platforms and managing data on Linux servers.

Your Profile

7+ years of experience in data engineering with a strong focus on cloud platforms (preferably AWS). 3+ years of experience as a Senior Engineer or SME in a data engineering role. Solid experience working on Linux platforms. Experience with CI/CD pipelines and tools like Jenkins. Strong understanding of DevOps methodologies and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect)

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than fifty countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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