SNOWFLAKE DATA ENGINEER
Job Summary
Job Description
- 4+ years of experience in data architecture and cloud solutions
- Minimum 3+ years of hands-on experience with Snowflake implementation
- Expertise in Snowflake best practices and performance tuning
- Strong knowledge in at least one cloud (AWS or Azure) is mandatory
- Solid understanding of SQL, Python, and scripting
- Strong communication skills to explain technical concepts
6 skills required
Job Details
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your Role
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
1. Applies scientific methods to analyse and solve software engineering problems.
2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
Your Profile
- 4+ years of experience in data architecture, data warehousing, and cloud data solutions.
- Minimum 3+ years of hands-on experience with End to end Snowflake implementation.
- Experience in developing data architecture and roadmap strategies with knowledge to establish data governance and quality frameworks within Snowflake
- Expertise or strong knowledge in Snowflake best practices, performance tuning, and query optimisation.
- Experience with cloud platforms like AWS or Azure and familiarity with Snowflake’s integration with these environments.
- Strong knowledge in at least one cloud(AWS or Azure) is mandatory
- Solid understanding of SQL, Python, and scripting for data processing and analytics.
- Experience in leading teams and managing complex data migration projects.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Knowledge on new Snowflake features,AI capabilities and industry trends to drive innovation and continuous improvement.
Skills (competencies)
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 50 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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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