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We are looking for a Lead Data Engineer to design, augment and elevate the metrics used to measure our consumer facing search, recommendations, promotions, and messaging experiences. You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Implementation of processes to ensure data quality, including data validation, cleansing, and error handling. Demonstrate deep knowledge and ability to lead others in the data engineering team to build and support noninteractive (batch, distributed) & real-time, highly available data, data pipeline and technology capabilities.
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Data Operations team is seeking an experienced senior data scientist to research and develop evaluation methods to drive the continuous improvement of annotation data quality for Apple’s wide variety of ML projects.
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Under general direction from the ST Quality Director and as a Quality leadership role for major Sound Transit corridor projects, this position plans, directs, manages and oversees the implementation of Quality Management Program and processes of multiple large and complex design and construction projects.
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The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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As a Data Analyst at Rippl Care, you will play a crucial role in extracting meaningful insights from complex datasets to drive informed decision-making and enhance the quality of care for seniors with dementia.
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IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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Work collaboratively across the Product, Engineering, Developer Services and Customer Engagement teams to deliver data solutions and standard products for customer needs and product development Qualifications: 2-3 years of experience in data analytics and data visualization.
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With Division Head oversight, works with clinical laboratory, research scientists, and faculty to design a comprehensive quality assurance and quality control (QA/QC) program to ensure division laboratories maintain highest quality data standards.
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Participate in the design, development, testing and implementation of data models/resources used to analyze the WorkSource system, and to deliver high quality, accurate labor market information; provide stakeholder user trainings and technical assistance as needed.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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We are a team of passionate Data Analysts, Data Scientists, and Operations who safeguard TikTok's US user data and join forces with cross-functional teams to derive actionable insights from US user data to maximize monetization results while still giving users a pleasant experience in our app.
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One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Top 3: 1 Skill : Data Engineering 5+ 2 Skill : Data Bricks 5+ 3 Skill : Sparks/ Dev ops practices 5.
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data quality jobs Title: operations lead Company: Ey in Seattle, WA
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