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Entry-level generic engineer title, metro location, and broad Java/SQL/Docker/Kubernetes requirements increase competition.
ETL, Java, SQL, and container skills are broadly transferable across industries.
Explicit one-year requirement plus mandatory Java, SQL, ETL, Docker, and Kubernetes increases shortlisting rigidity.
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Build and maintain ETL/data pipelines using Java and SQL to support analytics and reporting.
Develop and containerize backend components with Docker, deploying on Kubernetes clusters.
Leverage AI tools to accelerate ETL development including code generation, refactoring, and testing with validation and security oversight.
Up to 1 year of relevant work experience in software development and ETL.
Bachelor’s degree or equivalent experience is mandatory.
Strong proficiency in Java and very strong SQL skills required.
Hands-on experience with Docker, Kubernetes, ETL processes, and AI-assisted ETL development; basic Git and CI/CD understanding.
Early-career engineer with demonstrable skills in backend development and data pipeline construction.
Comfortable working in cloud-native containerized environments and using AI tools for software development tasks.
Able to produce optimized SQL analytics queries and ensure performance tuning of data jobs in production environments.