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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Technical Proficiency: Expertise in web and data technologies such as Kafka, HDFS, Spark, EMR, Open Table Formats, Snowflake, Hive, HBase, Scylla, Django, and FastAPI.Cloud Expertise: Proficient in designing, deploying, and managing systems on AWS.Full Lifecycle Exposure: Experience with the complete software development lifecycle, from inception to production and monitoring.
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Advanced proficiency in cloud-based SQL Environment (BigQuery, Snowflake or RedShift), SQL, and at least one object-oriented language. Experience with data visualization tools (such as Power BI, Tableau or Qlik.
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The Lead Full Stack Software Engineer, a pivotal role within the AI Engineering team, spearheads the design, development, and deployment of critical software architectural components and solutions.
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Marriott has an exciting opportunity for a Senior Software Engineer – Corporate Systems. Basic Computer Skills - Using basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.
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Join Under Armour’s Digital Product Security team and secure cloud infrastructure that powers our customer web sites, mobile apps, and APIs. You will play a crucial role in designing, implementing, and overseeing the security measures of our cloud-based systems and services to keep 200M athletes’ data secure while they improve their lives through better health & fitness.
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Principal Engineer, Product Software (Remote) page is loaded. Principal Engineer, Product Software (Remote) As a Principal Engineer, you’ll work with product teams, analysts, other engineers to architect systems and application software, and mentor members of the team.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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Programming skills in Python and familiarity with data pipeline development are highly desirable. Location: Remote USRole Summary:The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure.
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AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer). Experience working in or supporting DevSecOps Test Data Generator and Test Management Tools. Experience with software containers (e.g., Docker and Podman) and schedulers (e.g., Kubernetes and Kafka.
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Coordinate internal and external processing of all requests and inquiries, including the completion of all documentation related to FMLA, Leaves of Absence and/or ADA/Accommodation requests; Includes partnership with People Partners, Employment Counsel, Senior Leadership, as well as applicable Short- and Long-term Disability Vendor, and applicable governmental bodies, as needed.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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Big Plus: Experience with large scale data processing & pipeline orchestration tools like Dataflow, Kubeflow, Airflow, BigQuery and Ray. Experience in large-scale deep learning recommendation model training using parallel computing, distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources is a big plus.
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An Engineer with a passion for programming and knowledge in Cloud technologies such as Docker, Kubernetes, in general and AWS specific cloud components such as EC2, EKS, AWS Lamda functions, API Gateway, RDS. Engineer/Developer is expected to provide strategy and implement an enterprise scale service mesh and side car architectures with focus on scalability, performance, security and availability.
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Strong expertise in SQL, Python, and data engineering tools and frameworks. The Data Architect/Engineer will be both responsible for overall functional & technical design but also governance, lineage, and data quality processes.
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