Data Engineer, AWS GCR Tech
Data Engineer, AWS GCR Tech
Posted on :
12-09-2025
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1 Vacancy
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Job Description
AWS Global Sales drives adoption of the AWS cloud worldwide enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service unmatched technology and consistent support. We dive deep to understand each customers unique challenges then craft innovative solutions that accelerate their success. This customer-first approach is how we built the worlds most adopted cloud. Join us and help us grow.
We are seeking a skilled Data Engineer to join GCR Tech team focusing on enabling data-driven business operations and this role you will build robust platforms and tools that enhance service reliability while improving customer experience in accessing and utilizing data. You will leverage AI technologies to unlock the full potential of data for business insights and operational excellence.
The successful candidate will work directly with field sales teams to understand their data needs and translate business requirements into scalable technical solutions. You will be responsible for building end-to-end data pipelines implementing AI-powered analytics and creating self-service tools that empower business users to make data-driven decisions. This role requires a balance of technical expertise and business acumen with a strong focus on delivering measurable impact for sales operations and customer experience.
Key job responsibilities
- Work with global teams to enable reliable data for GCR business operations while following strict security compliance requirements and build data foundation for GCR users to self-service for their use cases
- Build and enhance data platforms to support end users to easily and securely access data and insights by leveraging AI AWS services and open source services
- Collaborate with product managers and SDE team members to design and implement data products that meet business requirements and deliver measurable value
- Implement robust data quality monitoring validation frameworks and governance practices while optimizing compute solutions for performance and cost efficiency
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
#AWSGCR
- 5 years of data engineering experience
- Bachelors degree
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Hands-on experience with GenAI technologies (LLMs foundation models prompt engineering)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are seeking a skilled Data Engineer to join GCR Tech team focusing on enabling data-driven business operations and this role you will build robust platforms and tools that enhance service reliability while improving customer experience in accessing and utilizing data. You will leverage AI technologies to unlock the full potential of data for business insights and operational excellence.
The successful candidate will work directly with field sales teams to understand their data needs and translate business requirements into scalable technical solutions. You will be responsible for building end-to-end data pipelines implementing AI-powered analytics and creating self-service tools that empower business users to make data-driven decisions. This role requires a balance of technical expertise and business acumen with a strong focus on delivering measurable impact for sales operations and customer experience.
Key job responsibilities
- Work with global teams to enable reliable data for GCR business operations while following strict security compliance requirements and build data foundation for GCR users to self-service for their use cases
- Build and enhance data platforms to support end users to easily and securely access data and insights by leveraging AI AWS services and open source services
- Collaborate with product managers and SDE team members to design and implement data products that meet business requirements and deliver measurable value
- Implement robust data quality monitoring validation frameworks and governance practices while optimizing compute solutions for performance and cost efficiency
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
#AWSGCR
- 5 years of data engineering experience
- Bachelors degree
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Hands-on experience with GenAI technologies (LLMs foundation models prompt engineering)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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