Required Skills and Qualifications
5+ years of experience in Data Engineering, Machine Learning Engineering, or Data Platform roles; candidates with 3+ years may be considered if they demonstrate strong relevant skills.
Strong hands-on experience with Python development and production-grade data pipelines.
Practical experience with PySpark and large-scale distributed data processing.
Advanced SQL skills, including complex queries, query optimization, and working with large relational datasets.
Experience building, maintaining, and supporting enterprise data pipelines.
Hands-on experience with AWS services and cloud-based data platforms.
Strong understanding of data modeling, ETL/ELT processes, and data integration practices.
Understanding of GenAI, LLMs, or machine learning applications, with the ability to support data pipelines for AI-driven solutions.

AWS Data Engineer--Only W2

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