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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. This position is responsible for design, development, testing and support for data pipelines to enable continuous data processing for data exploration, data preparation and real-time business analytics.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing, analytics, and machine learning workflows. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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BigQuery Expertise: Leverage BigQuery for data warehousing and analytics, optimizing queries, and ensuring efficient data storage and retrieval. LevelTens CFO-Ready Analytics automatically calculate more than a billion data points every day, providing our partners with leading-edge, real-time risk and value insights at modern market scale.
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5 years' experience with SQL (writing complex queries), MS Excel, Tableau, Looker, and Qlik Sense dashboard development, or other data analytics and visualization tools. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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The core aspect of this role is writing the annotation guidelines, annotation of clinical notes - in order to make it easier for software, analytics & data science teams to train natural language processing models.
$50 - $70 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will also provide the required data and analytics to enable a continuous improvement mindset and execution by Client’s demand planning teams for performance and more efficiency in Client’s current and future ways of working and partner with the Demand Planning director and the Demand planning excellence Lead to achieve these goals.
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Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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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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The products our portfolio include Microsoft Fabric, Azure SQL Database, Azure Cosmos Database, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of Artificial Intelligence (AI), powering a new class of data-first applications and driving a data culture.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven expertise in working with cloud platforms, such as AWS, Azure or Google Cloud, to architect and implement scalable and efficient data analytics solutions. The Principal Engineer in Data Analytics at Costco holds a pivotal leadership role, steering the strategic vision, design, and architecture of the organization's data analytics and reporting landscape.
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