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AWS Data Engineer

Hybrid • Posted 2 days ago • Updated 3 hours ago

Full Time

Hybrid

Fitment

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Summary

Job Summary (List Format):

- Lead the design and development of scalable big data applications using Python (10+ years' experience required).
- Build and optimize efficient data processing pipelines with big data technologies such as Hadoop/EMR, Spark, and Hive.
- Develop and maintain solutions leveraging AWS services, including Lambda, EventBridge, Step Functions, Redshift, S3, and Glue (5+ years' experience required).
- Implement data transformation, manipulation, and analysis workflows, including making API calls and executing complex SQL queries.
- Analyze large datasets to extract meaningful insights and support data-driven decision-making.
- Create and maintain CI/CD pipelines using tools such as GitLab and Terraform.
- Collaborate and communicate effectively with cross-functional teams in a matrixed organization.
- Apply critical thinking and strong analytical skills to solve complex technical challenges and drive innovative solutions.
- Demonstrate strong problem-solving skills and the ability to form positive partnerships with team members.
- Ensure best practices in code quality, testing, and deployment processes for big data solutions.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10209652
Position Id: 2026-228300
Posted 2 days ago

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