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Popular Data Engineer role with common Python/AWS skills at a known employer, moderate applicant competition.
Core data engineering skills transferable, but SAP/OMS and e-commerce specifics moderately constrain industry fit.
Requires senior hands-on AWS, Python, ETL and messaging experience, enforcing moderate strict technical filters.
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Design, develop, and maintain ETL pipelines and data integration flows between E-commerce, SAP, OMS, and third-party systems.
Develop and operate Python-based data processing components, AWS Lambda functions, and containerized services on ECS within an event-driven architecture.
Improve integration patterns, ensure data reliability, scalability, and contribute to CI/CD pipelines and architecture decisions.
Strong Python development experience with senior hands-on engineering skills.
Solid experience with AWS cloud-native services including Lambda, ECS, and containerized workloads.
Experience with ETL, data integration, event-driven architectures, and messaging systems such as Kafka or equivalents.
Work Experience Required: Senior level experience; exact years not explicitly mentioned in the JD.
Experienced in managing complex ETL and data integration projects within AWS environments utilizing Python and event-driven systems.
Capable of independently analyzing existing systems to propose pragmatic technical improvements and enhance operational reliability.
Comfortable working in an agile environment involving collaboration with cross-functional teams and participation in technical discussions and architecture decisions.