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5+ years of experience with Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. The Chief Data Officer (CDO) - Americas is a role within our enterprise sales organization.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
$146,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Spring Boot, Microservices, Docker, Jenkins, GitHub, Kubernetes, and REST APIs. For Data Science/Data Analyst/AI/Machine Learning Positions Associate, Bachelor's, or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics, or having good logical aptitude.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
$170,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience or knowledge of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience using data visualization tools such as Tableau, Qlik, or Power BI.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer for Wizards of the Coast, you will be a technical specialist for our scalable cloud data platform! Job Segment: Cloud, Open Source, Software Engineer, Data Warehouse, Database, Technology, Engineering.
$167,520 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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M.Sc. in Computer Science, Data Science, or related engineering field with an emphasis in biomechanics (Kinesiology, Physiology, Exercise Science, etc.) Expert experience writing programs to analyze human performance and runner behavior data is strongly preferred (Python, SQL, MATLAB, KNIME, Qualtrics.
$198,739 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborate with data engineering and analytics teams to ensure efficient data processing, modeling, and analysis on the Snowflake platform. Deep technical knowledge of Azure cloud services, Snowflake data platform, Office 365 services (including Outlook and SharePoint), cybersecurity principles and technologies, networking protocols, and telecommunications systems.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
$89,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with enterprise data warehousing, tooling, data visualization including DBT, Tableau. As an Enterprise Data & Analytics Product Owner on the Business Transformation Team, you will collaborate with cross-functional stakeholders and the Data Engineering team to build and optimize data models that enable teams across Sales, Customer Success, Product, Finance, and HR to achieve operational excellence.
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Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining, using SciPy, scikit-learn, pandas, TensorFlow, Region-based Convolutional Neural Networks (R-CNN), OpenCV, Bidirectional Encoder Representations from Transformers (BERT), and Natural Language Toolkit (NLTK); and.
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data job Company: Gotham Enterprises Ltd in Seattle, WA
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