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Popular mid-level data engineer role with broad AWS/SQL requirements and metro location increases competition.
Core data engineering skills (Python, SQL, AWS) are highly transferable across industries.
Multiple mandatory technologies (Python, SQL, AWS, Terraform, CI/CD) but no explicit years requirement.
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Design and implement high-performance data infrastructure and real-time data pipelines for autonomous AI systems.
Develop, document, unit-test, and deploy components including building CI/CD pipelines.
Provide development estimates and guide functional features and technologies for data engineering projects.
Proficiency in Python programming and strong SQL skills with data modeling understanding.
Experience building or supporting data pipelines and ingestion processes.
Hands-on experience with AWS services such as Glue, S3, Lambda, and Cloudwatch.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in cloud-based data engineering with strong AWS and CI/CD pipeline knowledge.
Ability to independently own end-to-end tasks and provide solutions based on problem-solving and debugging skills.
Comfortable working with distributed systems and integrating diverse data platforms and tools.