Big Data System Engineer (Platform Engineer)
Cognizant
Big Data System Engineer (Platform Engineer)
Job Description
Big Data System Engineer (Platform Engineer)
1 year fixed term contract with extension
As a Big Data System Engineer (Platform Engineer), you will make an impact by designing, implementing, and maintaining scalable big data platforms. You will be a valued member of the data engineering team and work collaboratively with architects, developers, and business stakeholders.
- Design and implement big data infrastructure and platform solutions.
- Ensure high availability, scalability, and security of data systems.
- Collaborate with data engineers and analysts to optimize data workflows.
- Monitor and troubleshoot platform performance and reliability.
- Automate deployment and maintenance tasks using DevOps practices.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring presence in Zurich, Switzerland. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong experience with Hadoop ecosystem, Spark, and distributed systems.
- Proficiency in Linux, scripting languages, and automation tools.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with real-time data processing frameworks.
- Familiarity with CI/CD pipelines and infrastructure as code.
- Knowledge of security best practices for big data environments.
- Exposure to machine learning workflows.
- Strong problem-solving and communication skills.
At Cognizant, we offer a competitive salary and the opportunity to work in an international environment within a technology-driven organization. You will have access to career development opportunities and a variety of wellbeing programs designed to support a healthy work-life balance. Additional benefits include:
- Health insurance allowance
- German language course reimbursement
- 25 paid vacation days
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About the Role/Company
- Cognizant is a global community with more than 300,000 associates around the world
- We don’t just dream of a better way – we make it happen
- We take care of our people, clients, company, communities and climate by doing what’s right
- We foster an innovative environment where you can build the career path that’s right for you
- Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
- Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- Cognizant is an equal opportunity employer
Key Responsibilities
- Design and implement big data infrastructure and platform solutions
- Ensure high availability, scalability, and security of data systems
- Collaborate with data engineers and analysts to optimize data workflows
- Monitor and troubleshoot platform performance and reliability
- Automate deployment and maintenance tasks using DevOps practices
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Preferred Qualifications
- Experience with real-time data processing frameworks
- Familiarity with CI/CD pipelines and infrastructure as code
- Knowledge of security best practices for big data environments
- Exposure to machine learning workflows
- Strong problem-solving and communication skills
Skills Required
- Strong experience with Hadoop ecosystem, Spark, and distributed systems
- Proficiency in Linux, scripting languages, and automation tools
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of containerization and orchestration (Docker, Kubernetes)
Benefits & Perks
- Health insurance allowance
- German language course reimbursement
- 5 paid vacation days
Additional Requirements
- year fixed term contract with extension
- Hybrid position requiring presence in Zurich, Switzerland
Locations
- India
Salary
Salary not disclosed
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong experience with Hadoop ecosystem, Spark, and distributed systemsintermediate
- Proficiency in Linux, scripting languages, and automation toolsintermediate
- Experience with cloud platforms (AWS, Azure, or GCP)intermediate
- Knowledge of containerization and orchestration (Docker, Kubernetes)intermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (experience)
Preferred Qualifications
- Experience with real-time data processing frameworks (experience)
- Familiarity with CI/CD pipelines and infrastructure as code (experience)
- Knowledge of security best practices for big data environments (experience)
- Exposure to machine learning workflows (experience)
- Strong problem-solving and communication skills (experience)
Responsibilities
- Design and implement big data infrastructure and platform solutions
- Ensure high availability, scalability, and security of data systems
- Collaborate with data engineers and analysts to optimize data workflows
- Monitor and troubleshoot platform performance and reliability
- Automate deployment and maintenance tasks using DevOps practices
Benefits
- general: Health insurance allowance
- general: German language course reimbursement
- general: 5 paid vacation days
Tags & Categories
Big Data System Engineer (Platform Engineer)
Cognizant
Big Data System Engineer (Platform Engineer)
Job Description
Big Data System Engineer (Platform Engineer)
1 year fixed term contract with extension
As a Big Data System Engineer (Platform Engineer), you will make an impact by designing, implementing, and maintaining scalable big data platforms. You will be a valued member of the data engineering team and work collaboratively with architects, developers, and business stakeholders.
- Design and implement big data infrastructure and platform solutions.
- Ensure high availability, scalability, and security of data systems.
- Collaborate with data engineers and analysts to optimize data workflows.
- Monitor and troubleshoot platform performance and reliability.
- Automate deployment and maintenance tasks using DevOps practices.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring presence in Zurich, Switzerland. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Strong experience with Hadoop ecosystem, Spark, and distributed systems.
- Proficiency in Linux, scripting languages, and automation tools.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Experience with real-time data processing frameworks.
- Familiarity with CI/CD pipelines and infrastructure as code.
- Knowledge of security best practices for big data environments.
- Exposure to machine learning workflows.
- Strong problem-solving and communication skills.
At Cognizant, we offer a competitive salary and the opportunity to work in an international environment within a technology-driven organization. You will have access to career development opportunities and a variety of wellbeing programs designed to support a healthy work-life balance. Additional benefits include:
- Health insurance allowance
- German language course reimbursement
- 25 paid vacation days
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About the Role/Company
- Cognizant is a global community with more than 300,000 associates around the world
- We don’t just dream of a better way – we make it happen
- We take care of our people, clients, company, communities and climate by doing what’s right
- We foster an innovative environment where you can build the career path that’s right for you
- Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
- Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- Cognizant is an equal opportunity employer
Key Responsibilities
- Design and implement big data infrastructure and platform solutions
- Ensure high availability, scalability, and security of data systems
- Collaborate with data engineers and analysts to optimize data workflows
- Monitor and troubleshoot platform performance and reliability
- Automate deployment and maintenance tasks using DevOps practices
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Preferred Qualifications
- Experience with real-time data processing frameworks
- Familiarity with CI/CD pipelines and infrastructure as code
- Knowledge of security best practices for big data environments
- Exposure to machine learning workflows
- Strong problem-solving and communication skills
Skills Required
- Strong experience with Hadoop ecosystem, Spark, and distributed systems
- Proficiency in Linux, scripting languages, and automation tools
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of containerization and orchestration (Docker, Kubernetes)
Benefits & Perks
- Health insurance allowance
- German language course reimbursement
- 5 paid vacation days
Additional Requirements
- year fixed term contract with extension
- Hybrid position requiring presence in Zurich, Switzerland
Locations
- India
Salary
Salary not disclosed
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong experience with Hadoop ecosystem, Spark, and distributed systemsintermediate
- Proficiency in Linux, scripting languages, and automation toolsintermediate
- Experience with cloud platforms (AWS, Azure, or GCP)intermediate
- Knowledge of containerization and orchestration (Docker, Kubernetes)intermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (experience)
Preferred Qualifications
- Experience with real-time data processing frameworks (experience)
- Familiarity with CI/CD pipelines and infrastructure as code (experience)
- Knowledge of security best practices for big data environments (experience)
- Exposure to machine learning workflows (experience)
- Strong problem-solving and communication skills (experience)
Responsibilities
- Design and implement big data infrastructure and platform solutions
- Ensure high availability, scalability, and security of data systems
- Collaborate with data engineers and analysts to optimize data workflows
- Monitor and troubleshoot platform performance and reliability
- Automate deployment and maintenance tasks using DevOps practices
Benefits
- general: Health insurance allowance
- general: German language course reimbursement
- general: 5 paid vacation days
Tags & Categories