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AWS Glue Architect

Cognizant

Software and Technology Jobs

AWS Glue Architect

full-timePosted: Dec 7, 2025

Job Description

Skill: AWS Glue

Experience: 9 to 12 years

Location: AIA Chennai , AIA Bangalore

Job Summary

Join our dynamic team as an Architect where you will leverage your expertise in Spark Optimization AWS DevOps and Python to design and implement cutting-edge solutions. With a focus on AWS Glue Studio AWS Glue ETL and Amazon S3 you will drive innovation and efficiency in our hybrid work model. This role requires a minimum of 7 years of experience offering an exciting opportunity to make a significant impact.


Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency.
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications.
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency.
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately.
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility.
  • Optimize Apache Spark applications to improve processing speed and resource utilization.
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment.
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions.
  • Ensure compliance with industry standards and best practices in data management and security.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise.
  • Stay updated with the latest advancements in cloud technologies and data engineering practices.
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity.


Qualifications

  • Possess a strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies.
  • Demonstrate proficiency in Python programming with a focus on data processing and automation.
  • Experience with AWS Glue Studio and AWS Glue ETL is essential for managing complex data transformations.
  • Familiarity with Amazon S3 and Apache Spark is required to effectively manage data storage and processing.
  • Strong problem-solving skills and the ability to work collaboratively in a hybrid work environment.
  • Excellent communication skills to effectively convey technical concepts to non-technical stakeholders.


Certifications Required

AWS Certified Solutions Architect AWS Certified DevOps Engineer

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
  • 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 fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer
  • Cognizant helps clients lead with digital at www.cognizant.com

Key Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility
  • Optimize Apache Spark applications to improve processing speed and resource utilization
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions
  • Ensure compliance with industry standards and best practices in data management and security
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise
  • Stay updated with the latest advancements in cloud technologies and data engineering practices
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity

Required Qualifications

  • Strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies
  • Proficiency in Python programming with a focus on data processing and automation
  • Experience with AWS Glue Studio and AWS Glue ETL for managing complex data transformations
  • Familiarity with Amazon S3 and Apache Spark for managing data storage and processing
  • Strong problem-solving skills
  • Ability to work collaboratively in a hybrid work environment
  • Excellent communication skills to convey technical concepts to non-technical stakeholders
  • AWS Certified Solutions Architect
  • AWS Certified DevOps Engineer

Skills Required

  • Spark Optimization
  • AWS DevOps
  • Python programming
  • AWS Glue Studio
  • AWS Glue ETL
  • Amazon S3
  • Apache Spark
  • Problem-solving
  • Communication

Additional Requirements

  • Minimum of 7 years of experience
  • Ability to work in a hybrid work model

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

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

  • Spark Optimizationintermediate
  • AWS DevOpsintermediate
  • Python programmingintermediate
  • AWS Glue Studiointermediate
  • AWS Glue ETLintermediate
  • Amazon S3intermediate
  • Apache Sparkintermediate
  • Problem-solvingintermediate
  • Communicationintermediate

Required Qualifications

  • Strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies (experience)
  • Proficiency in Python programming with a focus on data processing and automation (experience)
  • Experience with AWS Glue Studio and AWS Glue ETL for managing complex data transformations (experience)
  • Familiarity with Amazon S3 and Apache Spark for managing data storage and processing (experience)
  • Strong problem-solving skills (experience)
  • Ability to work collaboratively in a hybrid work environment (experience)
  • Excellent communication skills to convey technical concepts to non-technical stakeholders (experience)
  • AWS Certified Solutions Architect (experience)
  • AWS Certified DevOps Engineer (experience)

Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility
  • Optimize Apache Spark applications to improve processing speed and resource utilization
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions
  • Ensure compliance with industry standards and best practices in data management and security
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise
  • Stay updated with the latest advancements in cloud technologies and data engineering practices
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity

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Cognizant logo

AWS Glue Architect

Cognizant

Software and Technology Jobs

AWS Glue Architect

full-timePosted: Dec 7, 2025

Job Description

Skill: AWS Glue

Experience: 9 to 12 years

Location: AIA Chennai , AIA Bangalore

Job Summary

Join our dynamic team as an Architect where you will leverage your expertise in Spark Optimization AWS DevOps and Python to design and implement cutting-edge solutions. With a focus on AWS Glue Studio AWS Glue ETL and Amazon S3 you will drive innovation and efficiency in our hybrid work model. This role requires a minimum of 7 years of experience offering an exciting opportunity to make a significant impact.


Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency.
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications.
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency.
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately.
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility.
  • Optimize Apache Spark applications to improve processing speed and resource utilization.
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment.
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions.
  • Ensure compliance with industry standards and best practices in data management and security.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise.
  • Stay updated with the latest advancements in cloud technologies and data engineering practices.
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity.


Qualifications

  • Possess a strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies.
  • Demonstrate proficiency in Python programming with a focus on data processing and automation.
  • Experience with AWS Glue Studio and AWS Glue ETL is essential for managing complex data transformations.
  • Familiarity with Amazon S3 and Apache Spark is required to effectively manage data storage and processing.
  • Strong problem-solving skills and the ability to work collaboratively in a hybrid work environment.
  • Excellent communication skills to effectively convey technical concepts to non-technical stakeholders.


Certifications Required

AWS Certified Solutions Architect AWS Certified DevOps Engineer

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
  • 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 fosters an innovative environment where employees can build the career path that’s right for them
  • Cognizant is an equal opportunity employer
  • Cognizant helps clients lead with digital at www.cognizant.com

Key Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility
  • Optimize Apache Spark applications to improve processing speed and resource utilization
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions
  • Ensure compliance with industry standards and best practices in data management and security
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise
  • Stay updated with the latest advancements in cloud technologies and data engineering practices
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity

Required Qualifications

  • Strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies
  • Proficiency in Python programming with a focus on data processing and automation
  • Experience with AWS Glue Studio and AWS Glue ETL for managing complex data transformations
  • Familiarity with Amazon S3 and Apache Spark for managing data storage and processing
  • Strong problem-solving skills
  • Ability to work collaboratively in a hybrid work environment
  • Excellent communication skills to convey technical concepts to non-technical stakeholders
  • AWS Certified Solutions Architect
  • AWS Certified DevOps Engineer

Skills Required

  • Spark Optimization
  • AWS DevOps
  • Python programming
  • AWS Glue Studio
  • AWS Glue ETL
  • Amazon S3
  • Apache Spark
  • Problem-solving
  • Communication

Additional Requirements

  • Minimum of 7 years of experience
  • Ability to work in a hybrid work model

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

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

  • Spark Optimizationintermediate
  • AWS DevOpsintermediate
  • Python programmingintermediate
  • AWS Glue Studiointermediate
  • AWS Glue ETLintermediate
  • Amazon S3intermediate
  • Apache Sparkintermediate
  • Problem-solvingintermediate
  • Communicationintermediate

Required Qualifications

  • Strong background in Spark Optimization and AWS DevOps with proven experience in implementing these technologies (experience)
  • Proficiency in Python programming with a focus on data processing and automation (experience)
  • Experience with AWS Glue Studio and AWS Glue ETL for managing complex data transformations (experience)
  • Familiarity with Amazon S3 and Apache Spark for managing data storage and processing (experience)
  • Strong problem-solving skills (experience)
  • Ability to work collaboratively in a hybrid work environment (experience)
  • Excellent communication skills to convey technical concepts to non-technical stakeholders (experience)
  • AWS Certified Solutions Architect (experience)
  • AWS Certified DevOps Engineer (experience)

Responsibilities

  • Design and implement scalable data architectures using Spark Optimization to enhance performance and efficiency
  • Collaborate with cross-functional teams to integrate AWS DevOps practices ensuring seamless deployment and operation of applications
  • Develop and maintain Python scripts to automate data processing tasks improving workflow efficiency
  • Utilize AWS Glue Studio to create and manage ETL processes ensuring data is transformed and loaded accurately
  • Oversee the management of data storage solutions using Amazon S3 ensuring data integrity and accessibility
  • Optimize Apache Spark applications to improve processing speed and resource utilization
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment
  • Conduct regular performance assessments of data systems identifying areas for improvement and implementing solutions
  • Ensure compliance with industry standards and best practices in data management and security
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Monitor and troubleshoot data pipelines ensuring timely resolution of any issues that arise
  • Stay updated with the latest advancements in cloud technologies and data engineering practices
  • Contribute to the continuous improvement of processes and tools enhancing overall team productivity

Target Your Resume for "AWS Glue Architect" , Cognizant

Get personalized recommendations to optimize your resume specifically for AWS Glue Architect. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AWS Glue Architect" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for AWS Glue Architect @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.