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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. 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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7+ years of hands-on experience in building end-to-end systems and in ML Ops, including exploratory data analysis, feature engineering, sampling, model training with ensemble learning and/or deep learning, model validation, testing, serving, deployment and monitoring.
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As part of the IT Enterprise Data Solutions (EDS) department, the Data Infrastructure team’s mission is to lead on data technology and utilization, enabling informed decision-making, knowledge management, and strategic insights across the Foundation.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use casesWhat You'll Bring.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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You will define and drive the technical strategy for your teams, guiding them on architectural decisions for vNext using cutting-edge technology like AI-driven analytics/data discovery and setting a high bar for standards of excellence.
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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.
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Remote Data Entry / Part Time Full Time Work at Home. Part Time Data Entry. Remote Data Entry / Part Time Full Time Work at Home. WFH Apply to entry level work from home gigs that are suitable for: Administrative assistants, customer service reps, entry level workers, retail workers, amazon workers.
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Your ability to perform rapid and agile review and editing of many critical documents and engineering data will support Blue Origin's commitment to accurate and on-time delivery of important artifacts.
$106,848 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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SAP Master Data/Transaction data management related to SAP IBP planning processes. Working knowledge and strong understanding of SAP Cloud integration for data services (SAP CI-DS.
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In this role, you will work directly with the clients to lead critical modules in Data Engineering program which will include metadata management, data catalog, data quality, process/workflow definition implementation, Reporting, Delivery, etc.
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Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
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Skilled in MySQL, Big Data, Hive-Hadoop, Scala, PyTorch, Spark, TensorFlow, and data modeling. Data Scientist: The Cloud Capacity Planning and Analytics team at client's is an innovative, customer-focused group responsible for capacity demand planning, forecasting, cost measurement, reporting, and analysis for client's top-tier infrastructure.
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big data jobs Title: technology lead in Seattle, WA
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