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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. Position- Business Analyst - Legal. Familiarity with Legal Tech Tools: Knowledge of case management systems, document management systems, e-discovery tools, and other software used in legal operations.
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Data technologies (e.g., Snowflake, Databricks, Palantir) Experience with Azure, Snowflake, and Databricks administration and Data Lakes. Partner with IT and Legal to design secure and automated processes and implement practices that enable data democracy and agility.
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Seeking an IT and Software - Information Systems Analyst. Build and leverage cross-functional relationships to bring together ideas, data, and insights to drive continuous improvement in functions.
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Strong proficiency in data engineering technologies, such as SQL, Python, and data integration tools. Relevant experience of a minimum of 6 years in data engineering, including data warehousing, ETL development, and data modeling.
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Strong programming skills in languages such as Python, Java, or Scala for building data pipelines and performing data manipulation tasks. Data Studio for data visualization.
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The Clinical Trial Feasibility Financial Analyst will work with a team under direct supervision of the Manager of the Clinical Trials Operations. Rose International has an official agreement (ID ), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify.
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Job Summary: Experienced Data Scientist with 10-12 years of experience in managing complex projects and teams. Job Title: Data Scientist. Job Summary: Experienced Data Scientist with 10-12 years of experience in managing complex projects and teams.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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The IT Systems Administrator role installs, secures, administers, and maintains Aspire Bakeries enterprise infrastructure systems; including active directory, domain services, Windows Server Platforms, storage, Multi-Cloud/Hybrid Services, and virtualized environments across the Americas for data center, bakery, and branch offices.
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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. Candidates must have deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling and experience applying these methods to real world problems.
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2+ years leading data engineering development directly with business or data science stakeholders. The Sr. Data Orchestration Infra Engineer will report to the Sr. Data & Analytics Manager.
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Reimagine how customer support can improve customer experience and idenCfy opportuniCes fortechnology improvements that lead to best-in-class customer service.
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Provides data mining, pattern and root cause analyses to help business units understand areas of untapped opportunity. Hires, trains, retains and challenges a best-in-class data science and analytics professionals.
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Title: data analyst Company: Pwc in Fremont, CA
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