Remote AI Data Engineer: Cloud Data Pipelines & AWS
Cognizant
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Benefits offered by this job
Job summary
Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines for AI-driven applications. You will collaborate with data engineers, software engineers, and business stakeholders across the AWS ecosystem.
The role emphasizes Python development, AWS services, and data platform enhancements, offering remote work flexibility and competitive compensation.
Qualifications
- Proven Python development experience delivering production-quality code.
- Proven data engineering experience building, deploying, and supporting scalable data pipelines.
- Hands-on expertise with AWS services and cloud-native data architectures.
- Experience with AWS Glue, AWS DMS, Kafka, Airflow, Snowflake.
- Familiarity with AI-assisted development tools to accelerate software engineering.
Responsibilities
- Design, develop, and support scalable data pipelines, data integrations, and processing solutions using modern cloud-native technologies.
- Build production-grade Python applications, scripts, and AWS Lambda functions that integrate with enterprise platforms, APIs, and AWS services.
- Develop and enhance data platforms leveraging AWS Glue, AWS DMS, Kafka, Airflow, and Snowflake.
- Translate business and technical requirements into engineering specifications, designs, and acceptance criteria.
- Review, test, debug, and optimize AI-generated code across the software lifecycle.
Skills
Tools
Job description
Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines for AI-driven applications. You will collaborate with data engineers, software engineers, and business stakeholders across the AWS ecosystem.
The role emphasizes Python development, AWS services, and data platform enhancements, offering remote work flexibility and competitive compensation.
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