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Ebay Senior MTS Software Eng. Data Platform United States, Texas, Austin
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform...
Author Architecture Decision Records to define technical solutions and influence eBay's tech strategy. Drive complex projects from inception to successful implementation, improving system performance and security for entire organization and...
8+ years of professional experience in native mobile development. Bachelor’s degree in EE, CS, or a related field. Mastery of advanced Kotlin language features and Android APIs. Experience authoring shared...
Recognized as “guru” or external expert in a function. Demonstrates broad and comprehensive expertise in leading-edge theories, techniques and/or technologies within own field. Influences internal/external business and/or regulatory issues that...
Understand, estimate, design and implement complex software applications, primarily in Scala. Deliver highly performing, low latency, robust code with high test coverage, continuous integration and production monitoring. Research and implement...
Build and maintain eBay’s homepage/CMS backend engineering and machine learning stack. Translate requirements to software design and create clean, efficient, extensible, maintainable code. Be responsible for a large functional area...
Design and Development: Develop, test, and maintain factory automation systems, including manufacturing execution systems (MES), production activity control (PAC), and scheduling algorithms. Optimization and Integration: Analyze, prototype, and enhance automation...
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.