Offres d'emploi : senior data engineer implementation consultant sql java talend python
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Staff Software Engineer- Data Infrastructure
AledadeAustin
As a Staff Software Engineer, you will take us beyond traditional monolithic SQL engines and batch pipelines. You will build the next generation of distributed data storage and processing systems. You
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ML Machine Learning Engineer
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Sr. Lead Machine Learning Engineer
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Sr. Lead Machine Learning Engineer
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Mid-Level Backend Software Engineer
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Mid-Level Backend Software Engineer
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Machine Learning Engineer
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Lead Machine Learning Engineer (Manager IC)
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Mid-Level Backend Software Engineer
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Mid-Level Backend Software Engineer
LeidosCaseyvilleDescriptionIf you’ve been building your skills in backend development, object‑oriented programming, and mission‑driven engineering, and you’re ready for work that actually moves the needle, this is th
Mid-Level Backend Software Engineer
LeidosDenverDescriptionIf you’ve been building your skills in backend development, object‑oriented programming, and mission‑driven engineering, and you’re ready for work that actually moves the needle, this is th
Mid-Level Backend Software Engineer
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Mid-Level Backend Software Engineer
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Mid-Level Backend Software Engineer
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Mid-Level Backend Software Engineer
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Principal Data Engineer (Java/Spark)
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Senior Machine Learning Engineer (AI Foundations)
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Senior Manager- Analytics & AI Driven Strategy (FRMU)
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Sr. Business Analyst, AMZL UTR PPT
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Staff Software Engineer- Data Infrastructure
- Austin, Texas, United States
- Austin, Texas, United States
À propos
Qualifications:
BS/BTech (or higher) in Computer Science, Engineering or a related field required. 8+ years of production-level experience as an engineer building highly scalable systems. 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value 4+ years of experience working with SQL or other database querying languages on large multi-table data sets Experience architecting, developing, and deploying large-scale distributed systems at scale Experience with cloud technologies, e.g., AWS, Azure, GCP Experience building continuous integration and continuous development (CI/CD) pipelines Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
Bonus
Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc. 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure Experience in designing, building and optimizing data pipelines and ETL processes Proficiency in working with large datasets and knowledge of data storage technologies Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis In-depth knowledge of database systems Familiarity with
database replication, sharding and other techniques for scalability and high availability of databases Experience in performance monitoring and optimization of data systems and infrastructure Experience with containerization and orchestration technologies such as Docker and Kubernetes Experience building continuous integration and continuous deployment(CI/CD) pipelines Experience with security and systems that handle sensitive data
Responsibilities:
Identify and develop scalable and performant solutions. Work across discipline to shape product strategy and execution Develop the foundations of code architecture and quality. Mentor and coach engineers Set and uphold the standard for engineering processes to support high-quality engineering.
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Compétences linguistiques
- English
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