Cloud Data Platform Engineer - C
π Job Overview
- Job Title: Cloud Data Platform Engineer - C
- Company: Capgemini
- Location: Mumbai, MahΔrΔshtra, India
- Job Type: On-site
- Category: DevOps Engineer
- Date Posted: 2025-06-11
- Experience Level: 5-10 years
π Role Summary
- Technical Leadership: Lead a team of platform engineers, driving cloud platform solutions and mentoring team members.
- Architecture & Decision Making: Make pivotal decisions on platform architecture, tools, and processes, balancing hands-on involvement with strategic oversight.
- Expertise in Cloud Services: Demonstrate proficiency in cloud services, automation, system architecture, and data management.
- Community Contribution: Stay informed about emerging trends and drive enhancements in platform engineering capabilities.
π Enhancement Note: This role emphasizes technical leadership and expertise in cloud services, making it an excellent fit for experienced DevOps engineers looking to advance their careers in cloud data infrastructure.
π» Primary Responsibilities
- Team Leadership: Supervise a team of platform engineers, fostering a culture of learning and innovation in platform engineering practices.
- Technical Guidance: Provide technical leadership and make critical decisions concerning platform architecture, tools, and processes.
- Mentorship: Guide team members through mentorship, enhancing their technical proficiencies and driving team growth.
- Platform Evolution: Ensure the continuous evolution of the data platform to meet changing data needs and leverage technological advancements.
- Data Infrastructure Management: Design, build, and maintain cloud-based data infrastructure, including storage solutions, data processing frameworks, and data orchestration tools.
π Enhancement Note: This role requires a strong balance between technical depth and leadership skills. Candidates should be prepared to demonstrate their expertise in cloud services and platform engineering principles while showcasing their ability to guide and mentor team members.
π Skills & Qualifications
Education: A Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert) are a plus.
Experience: Proven experience (5-10 years) in cloud-based data infrastructure, platform engineering, and team leadership. A strong background in data storage, processing, and management is essential.
Required Skills:
- Proficiency in cloud services (AWS, Azure, or GCP)
- Expertise in infrastructure as code (IaC) tools (Terraform, CloudFormation, or Azure Resource Manager)
- Strong knowledge of data storage solutions (NoSQL, SQL, object storage)
- Experience with data processing frameworks (Spark, Hadoop, or Kafka)
- Familiarity with data orchestration tools (Apache Airflow, Luigi, or Prefect)
- Excellent leadership, communication, and mentoring skills
- Strong problem-solving abilities and attention to detail
Preferred Skills:
- Experience with containerization (Docker, Kubernetes) and orchestration (EKS, AKS, or GKE)
- Knowledge of CI/CD pipelines and DevOps practices
- Familiarity with data governance, security, and compliance
- Experience with cloud-native databases and data warehousing solutions
- Proficiency in scripting languages (Python, Bash, or PowerShell)
π Enhancement Note: Given the leadership and mentorship aspects of this role, candidates should possess strong communication skills and demonstrate a proven track record in guiding team members' professional development.
π Web Portfolio & Project Requirements
Portfolio Essentials:
- Cloud Platform Projects: Highlight projects demonstrating your expertise in cloud-based data infrastructure, including architecture, implementation, and maintenance.
- Team Leadership: Showcase your leadership and mentoring skills through team projects or case studies.
- Data Infrastructure Solutions: Present solutions you've designed and implemented for data storage, processing, and management challenges.
Technical Documentation:
- Architecture Diagrams: Include diagrams illustrating your cloud platform architecture and data flow.
- Code Samples: Provide code snippets or examples showcasing your proficiency in IaC tools, scripting languages, and data processing frameworks.
- Project Documentation: Prepare detailed project documentation, including objectives, approach, challenges, and outcomes.
π Enhancement Note: As this role emphasizes leadership and mentorship, be prepared to discuss your approach to guiding team members and driving team success, in addition to your technical accomplishments.
π΅ Compensation & Benefits
Salary Range: INR 1,200,000 - 1,800,000 per annum (Based on experience and market standards for experienced DevOps engineers in Mumbai)
Benefits:
- Competitive health insurance and retirement plans
- Employee stock purchase plan and performance-based bonuses
- Professional development opportunities, including training and certifications
- Flexible work arrangements and remote work options (after probation period)
- Employee discounts and wellness programs
Working Hours: Full-time position with standard working hours (Monday-Friday, 9:00 AM - 6:00 PM IST). Occasional overtime may be required to meet project deadlines or address critical issues.
π Enhancement Note: The salary range provided is based on market research and industry standards for experienced DevOps engineers in Mumbai. Actual compensation may vary depending on the candidate's experience, skills, and negotiation.
π― Team & Company Context
π’ Company Culture
Industry: Capgemini is a global leader in consulting, technology services, and digital transformation, serving clients across various industries, including financial services, manufacturing, retail, and public sector.
Company Size: With over 270,000 employees worldwide, Capgemini offers a large and diverse work environment, providing ample opportunities for career growth and collaboration.
Founded: Established in 1971, Capgemini has a rich history of innovation and client-centric approach, fostering a culture of continuous learning and improvement.
Team Structure:
- The cloud data platform engineering team consists of platform engineers, data engineers, and data architects, working collaboratively to design, build, and maintain cloud-based data infrastructure.
- The team follows an Agile/Scrum methodology, with regular sprint planning, stand-ups, and retrospectives.
Development Methodology:
- Agile/Scrum: The team follows Agile/Scrum methodologies for project management and software development.
- Infrastructure as Code (IaC): IaC tools are used to version control and automate infrastructure provisioning and management.
- Continuous Integration/Continuous Deployment (CI/CD): CI/CD pipelines are employed to streamline the software development lifecycle and ensure rapid, reliable deployments.
Company Website: Capgemini
π Enhancement Note: Capgemini's large size and diverse client base offer numerous opportunities for experienced DevOps engineers to work on complex projects and drive innovation in cloud data infrastructure.
π Career & Growth Analysis
Web Technology Career Level: This role is suited for experienced DevOps engineers seeking to advance their careers in cloud data infrastructure and team leadership. The position offers opportunities to grow technically and professionally, mentoring team members and driving platform evolution.
Reporting Structure: The Cloud Data Platform Engineer - C reports directly to the Cloud Data Platform Engineering Manager and works closely with other engineering teams, data architects, and stakeholders.
Technical Impact: This role has a significant impact on the design, implementation, and maintenance of cloud-based data infrastructure, ensuring high performance, scalability, and security. The engineer's work directly influences data-driven applications and services, enabling developers to build, deploy, and operate data-centric applications efficiently.
Growth Opportunities:
- Technical Leadership: Grow into a senior or principal engineering role, providing technical guidance and mentorship to a larger team.
- Architecture & Strategy: Transition into an architecture or strategy role, focusing on designing and implementing cloud data infrastructure at an organizational level.
- Solution Consulting: Move into a solution consulting role, working directly with clients to understand their data needs and designing tailored cloud data infrastructure solutions.
π Enhancement Note: Capgemini's large and diverse client base, along with its focus on continuous learning and improvement, provides numerous opportunities for experienced DevOps engineers to grow their careers in cloud data infrastructure and team leadership.
π Work Environment
Office Type: Capgemini's Mumbai office is a modern, collaborative workspace designed to foster innovation and teamwork. The office features open-plan workspaces, meeting rooms, and breakout areas equipped with state-of-the-art technology.
Office Location(s): Capgemini's Mumbai office is located in the Bandra-Kurla Complex (BKC), a major commercial hub in the city. The office is easily accessible by public transportation and offers nearby amenities, including restaurants, cafes, and shopping centers.
Workspace Context:
- Collaborative Workspace: The open-plan workspace encourages collaboration and communication among team members, fostering a culture of shared learning and problem-solving.
- Modern Technology: The office is equipped with high-speed internet, multiple monitors, and cutting-edge development tools to support efficient work and innovation.
- Cross-Functional Collaboration: The workspace facilitates interaction with other teams, such as software development, data science, and project management, enabling seamless collaboration on data-centric projects.
Work Schedule: Full-time position with standard working hours (Monday-Friday, 9:00 AM - 6:00 PM IST). Occasional overtime may be required to meet project deadlines or address critical issues.
π Enhancement Note: Capgemini's modern, collaborative workspace and cross-functional collaboration opportunities provide an ideal environment for experienced DevOps engineers to thrive and drive innovation in cloud data infrastructure.
π Application & Technical Interview Process
Interview Process:
- Phone Screen: A brief phone call to discuss your experience, skills, and career objectives.
- Technical Assessment: A hands-on technical assessment, focusing on your expertise in cloud services, data infrastructure, and platform engineering principles.
- Behavioral Interview: A structured interview to evaluate your leadership, communication, and problem-solving skills, as well as your cultural fit with Capgemini.
- Final Interview: A meeting with the hiring manager or a panel of stakeholders to discuss your career aspirations, expectations, and fit for the role.
Portfolio Review Tips:
- Cloud Platform Projects: Highlight your expertise in cloud-based data infrastructure by showcasing projects that demonstrate your ability to design, build, and maintain scalable and secure data platforms.
- Team Leadership: Emphasize your leadership and mentoring skills through team projects or case studies that illustrate your ability to guide and develop team members.
- Data Infrastructure Solutions: Present innovative solutions you've implemented for data storage, processing, and management challenges, emphasizing your problem-solving abilities and attention to detail.
Technical Challenge Preparation:
- Cloud Services: Brush up on your knowledge of cloud services (AWS, Azure, or GCP) and prepare for questions on cloud architecture, data storage, processing, and management.
- Data Infrastructure: Familiarize yourself with data infrastructure concepts, including data warehousing, data lakes, and data pipelines, and prepare for questions on data modeling, ETL processes, and data governance.
- Leadership & Communication: Prepare for behavioral questions that assess your leadership, communication, and problem-solving skills, as well as your ability to work collaboratively with team members and stakeholders.
ATS Keywords: (Organized by category)
- Cloud Services: AWS, Azure, GCP, Cloud Architecture, Cloud Migration, Cloud Security
- Data Infrastructure: Data Storage, Data Processing, Data Management, Data Warehousing, Data Lakes, Data Pipelines, ETL, Data Governance, Data Quality
- Platform Engineering: Infrastructure as Code, IaC, Terraform, CloudFormation, Azure Resource Manager, CI/CD, DevOps, Automation, System Architecture
- Leadership & Communication: Team Leadership, Mentoring, Stakeholder Management, Problem-Solving, Decision-Making, Communication Skills, Cultural Fit
π Enhancement Note: Capgemini's interview process focuses on assessing candidates' technical expertise, leadership skills, and cultural fit. Prepare for a combination of technical assessments, behavioral interviews, and case studies that evaluate your ability to drive innovation and success in cloud data infrastructure and team leadership.
π Technology Stack & Web Infrastructure
Cloud Services:
- AWS: Amazon Web Services is the preferred cloud platform for this role. Candidates should have a strong understanding of AWS services, including EC2, RDS, S3, Redshift, and Glue.
- Azure/GCP: Familiarity with Microsoft Azure or Google Cloud Platform is a plus, as Capgemini works with clients using these platforms as well.
Data Infrastructure:
- Data Storage: Candidates should have experience with various data storage solutions, such as NoSQL databases (MongoDB, Cassandra), SQL databases (PostgreSQL, MySQL), and object storage (S3, Azure Blob Storage, Google Cloud Storage).
- Data Processing: Familiarity with data processing frameworks, such as Apache Spark, Hadoop, or Kafka, is essential. Experience with data processing workflow orchestration tools, such as Apache Airflow, Luigi, or Prefect, is a plus.
- Data Orchestration: Candidates should have experience with data orchestration tools, such as Apache Airflow, Luigi, or Prefect, to manage and automate data processing workflows.
Infrastructure as Code (IaC) & Automation:
- Terraform: Proficiency in Terraform is highly desired, as it is the primary IaC tool used at Capgemini.
- CloudFormation & Azure Resource Manager: Familiarity with AWS CloudFormation or Azure Resource Manager is a plus, as Capgemini works with clients using these tools as well.
- Ansible & Puppet: Experience with configuration management tools, such as Ansible or Puppet, is a plus.
CI/CD & DevOps:
- Jenkins & GitLab CI/CD: Familiarity with Jenkins or GitLab CI/CD pipelines is desired, as Capgemini uses these tools for continuous integration and deployment.
- Docker & Kubernetes: Experience with containerization (Docker) and orchestration (Kubernetes) is a plus, as Capgemini works with clients using these technologies as well.
π Enhancement Note: Capgemini's technology stack focuses on cloud services, data infrastructure, and automation. Candidates should have a strong understanding of AWS services, data storage solutions, and IaC tools, with a willingness to learn and adapt to new technologies as needed.
π₯ Team Culture & Values
Capgemini's Core Values:
- Honesty & Integrity: Capgemini values transparency, honesty, and integrity in all aspects of work and client interactions.
- Boldness: Capgemini encourages employees to take calculated risks, challenge the status quo, and drive innovation.
- Trust & Teamwork: Capgemini fosters a culture of trust, collaboration, and teamwork, enabling employees to work together effectively and achieve common goals.
- Freedom: Capgemini values employee autonomy and encourages initiative, empowering employees to make decisions and take ownership of their work.
Capgemini's Web Development Values:
- Innovation: Capgemini values innovation and continuous learning, encouraging employees to stay up-to-date with emerging technologies and trends in cloud data infrastructure.
- Quality & Excellence: Capgemini is committed to delivering high-quality solutions that meet or exceed client expectations.
- Collaboration: Capgemini fosters a culture of collaboration and knowledge sharing, enabling employees to work together effectively and drive success.
- Customer Focus: Capgemini is dedicated to understanding and meeting the unique needs of each client, providing tailored solutions and exceptional service.
Collaboration Style:
- Cross-Functional Collaboration: Capgemini encourages collaboration across teams, including software development, data science, and project management, to ensure seamless delivery of data-centric projects.
- Code Review & Knowledge Sharing: Capgemini values code review and knowledge sharing, fostering a culture of continuous learning and improvement.
- Mentoring & Technical Growth: Capgemini is committed to supporting the professional development of its employees, providing opportunities for mentoring, training, and certification.
π Enhancement Note: Capgemini's values and culture emphasize innovation, quality, collaboration, and customer focus, providing an ideal environment for experienced DevOps engineers to grow both technically and professionally.
β‘ Challenges & Growth Opportunities
Technical Challenges:
- Cloud Architecture: Design and implement scalable, secure, and high-performing cloud data infrastructure, balancing cost optimization and performance.
- Data Governance: Ensure data quality, security, and compliance by implementing robust data governance policies and procedures.
- Emerging Technologies: Stay informed about emerging trends and technologies in cloud data infrastructure, and drive their adoption within Capgemini's client base.
- Team Leadership: Lead a team of platform engineers, driving cloud platform solutions and mentoring team members to enhance their technical proficiencies.
Learning & Development Opportunities:
- Technical Skill Development: Capgemini offers numerous training and certification opportunities to help employees develop their technical skills and advance their careers.
- Conference Attendance: Capgemini encourages employees to attend industry conferences and events, providing opportunities to network with peers and learn about emerging trends and best practices.
- Mentorship & Leadership Development: Capgemini provides mentorship and leadership development programs to help employees grow professionally and drive team success.
π Enhancement Note: Capgemini's technical challenges and growth opportunities focus on driving innovation and success in cloud data infrastructure and team leadership, providing experienced DevOps engineers with ample opportunities to grow their careers.
π‘ Interview Preparation
Technical Questions:
- Cloud Services: Be prepared to discuss your expertise in cloud services, including architecture, data storage, processing, and management. Brush up on your knowledge of AWS, Azure, or GCP services and prepare for scenario-based questions that evaluate your ability to design and implement cloud data infrastructure.
- Data Infrastructure: Familiarize yourself with data infrastructure concepts, including data warehousing, data lakes, and data pipelines. Prepare for questions on data modeling, ETL processes, and data governance, and be ready to discuss your approach to designing and implementing scalable and secure data infrastructure.
- Leadership & Communication: Prepare for behavioral questions that assess your leadership, communication, and problem-solving skills, as well as your ability to work collaboratively with team members and stakeholders. Be ready to discuss your approach to team leadership, mentoring, and decision-making.
Company & Culture Questions:
- Capgemini's Values: Brush up on Capgemini's core values and be prepared to discuss how you embody these values in your work and interactions with team members and clients.
- Cloud Data Infrastructure: Familiarize yourself with Capgemini's approach to cloud data infrastructure and be ready to discuss how you would drive innovation and success in this area within the organization.
- Client Focus: Prepare for questions that assess your understanding of Capgemini's client-centric approach and your ability to deliver tailored solutions that meet client needs and exceed expectations.
Portfolio Presentation Strategy:
- Cloud Platform Projects: Highlight your expertise in cloud-based data infrastructure by showcasing projects that demonstrate your ability to design, build, and maintain scalable and secure data platforms.
- Team Leadership: Emphasize your leadership and mentoring skills through team projects or case studies that illustrate your ability to guide and develop team members.
- Data Infrastructure Solutions: Present innovative solutions you've implemented for data storage, processing, and management challenges, emphasizing your problem-solving abilities and attention to detail.
π Enhancement Note: Capgemini's interview process focuses on assessing candidates' technical expertise, leadership skills, and cultural fit. Prepare for a combination of technical assessments, behavioral interviews, and case studies that evaluate your ability to drive innovation and success in cloud data infrastructure and team leadership.
π Application Steps
To apply for this Cloud Data Platform Engineer - C position at Capgemini:
- Customize Your Portfolio: Tailor your portfolio to highlight your expertise in cloud-based data infrastructure, team leadership, and problem-solving, emphasizing your ability to design, build, and maintain scalable and secure data platforms.
- Optimize Your Resume: Highlight your relevant experience, skills, and accomplishments in cloud services, data infrastructure, and team leadership, ensuring your resume is well-structured and easy to read.
- Prepare for Technical Assessments: Brush up on your knowledge of cloud services, data infrastructure, and platform engineering principles, and prepare for hands-on technical assessments that evaluate your expertise in these areas.
- Research Capgemini: Familiarize yourself with Capgemini's approach to cloud data infrastructure, client-centric approach, and company culture, and be ready to discuss how you would drive innovation and success within the organization.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with Capgemini before making application decisions.
Application Requirements
Candidates should have expertise in cloud-based data infrastructure and automation. They must demonstrate proficiency in platform engineering principles and practices.