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Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive. Scheduler Experience: Experience with schedulers like Apache Airflow, Apache Luigi, and Chronos.
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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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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Nice to Have: Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/BeamWorked with containerization using docker and kubernetes.
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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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As an experienced Kafka developer, the candidate should already have a strong foundation in Java, big data and event driven applications. Essential Tech Stack: Java Kafka Streams Spring Apache Kafka Confluent Git / DevOps best practices Kubernetes Zookeeper Kafka Connect Ansible Confluent platform Docker AWS / Azure / GCP / OpenShift Desirable: Quarkus Jenkins / Nexus / GitHub actions Avro / Json schemas Understanding of Kafka open source tooling What do we offer.
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Preferred Skills:Certification in relevant integration technologies (e.g., MuleSoft, Dell Boomi, Apache Camel). Collaboration:Work closely with application developers, data engineers, and business analysts to understand integration requirements.
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The Senior Programming Associate / Programming Manager will provide support to the Lead programmer and will at times work with Data Management, Statistics, Drug Safety, Medical, Clinical Pharmacology and Biomarker functions by developing and writing corresponding SAS or other programs.
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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Field data acquisition utilizing various geophysical sensors including Metal-Mapper, APEX, UltraTEM, EM61, GPR and Magnetometers.
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Expertise in BI, Analytics and Data management space and experience with vendors like AWS, Google Cloud, Snowflake, Databricks, Power BI, Tableau, etc. We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Experience working in or supporting DevSecOps Test Data Generator and Test Management Tools. Manual testing experience (injection of live or recorded satellite data for System modeling) Generating test data, configuration settings, and test planning and execution *Communicating status, results, and recovery plans (as applicable) to key internal and / or external stakeholders.
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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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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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It all started with one big dream, two crazy cousins, and the perfect combination of flour, sugar, and chocolate chips. The very first Crumbl opened in Logan, UT while Sawyer, Crumbl's COO and Co-founder, attended Utah State University (go Aggies.
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