Remote AI Data Engineer: Cloud Pipelines & AI Apps
Cognizant Technology Solutions Corporation
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Benefits offered by this job
Job summary
Cognizant Technology Solutions Corporation in the United States is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data solutions that enable AI-driven applications and business outcomes.
You will collaborate with data engineers, software engineers, architects, product owners, and business stakeholders to deliver across the AWS ecosystem, develop Lambda apps, Glue, DMS, Kafka, Airflow, and Snowflake, and translate requirements into engineering designs with
Qualifications
- Hands-on Python development with production-quality code.
- Experience building scalable data pipelines in the cloud.
- Hands-on AWS services experience and cloud-native architectures.
- Translate business and technical requirements into designs and acceptance criteria.
- Review, validate, test, debug, and optimize AI-generated code.
Responsibilities
- Design, develop, and support scalable data pipelines and integrations.
- Build production-grade Python apps, scripts, and Lambda functions.
- Develop data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake.
- Translate requirements into engineering specs, designs, and acceptance criteria.
- Review and optimize AI-generated code throughout the SDLC.
Skills
Tools
Job description
Cognizant Technology Solutions Corporation in the United States is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data solutions that enable AI-driven applications and business outcomes.
You will collaborate with data engineers, software engineers, architects, product owners, and business stakeholders to deliver across the AWS ecosystem, develop Lambda apps, Glue, DMS, Kafka, Airflow, and Snowflake, and translate requirements into engineering designs with
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