Big Query Data Engineer
Capgemini
Job Overview
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Job Description
About Capgemini
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.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
Your Role as a Big Query Data Engineer
As a Big Query Data Engineer, your role involves critical contributions to Capgemini's cloud infrastructure and data solutions. You will be instrumental in building robust systems, optimizing data processes, and ensuring smooth operations.
- Build, support, and automate all Google Cloud Platform (GCP) infrastructure.
- Implement Big Query reports and optimize log analysis and alerting.
- Provide expertise in Operational Data Store management.
- Create bash scripts to automate development, deployment, and backup operations.
- Clearly document all processes and tools for maintainability.
Your Profile
To succeed in this Big Query Data Engineer role, you should possess a strong technical background and a proactive approach to learning and problem-solving.
- Ability to quickly learn and work with emerging technologies, methodologies, and solutions in the cloud/IT space.
- Hands-on experience with JIRA, Confluence, and Agile methodologies.
- At least 3 years of experience with Google Cloud Platform (especially Big Query).
- Strong understanding of cloud-native operations, technologies, principles, and Infrastructure as Code.
- Minimum 2 years of experience supporting Google Cloud infrastructure.
- 4+ years of PL/SQL Oracle procedure development.
- Experience with Cloud Data Warehouses such as Big Query, RedShift, or Snowflake.
- Good knowledge of Google Cloud IAM policies.
- Bachelor’s or Master’s degree in Computer Science or a related field is preferred.
Key skills/competency
- Google Cloud Platform (GCP)
- Big Query
- Data Engineering
- Cloud Infrastructure
- PL/SQL Oracle
- Infrastructure as Code (IaC)
- Agile Methodologies
- Bash Scripting
- Log Analysis
- Cloud Data Warehousing
How to Get Hired at Capgemini
- Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight Big Query, GCP, and data engineering skills, aligning with Capgemini's focus areas.
- Showcase cloud expertise: Prepare to discuss your hands-on experience with Google Cloud Platform, Infrastructure as Code, and data warehousing solutions.
- Practice technical interviews: Be ready for questions on Big Query optimization, PL/SQL development, bash scripting, and cloud infrastructure support.
- Demonstrate agile mindset: Highlight your experience with Agile methodologies, JIRA, and Confluence, essential for Capgemini's collaborative environment.
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