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The Senior Data Engineer will play a crucial role in building and optimizing data pipelines and architectures for our cutting-edge products and services. We are seeking a highly skilled Senior Data Engineer to join our dynamic team at Adobe.
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Data Platform Engineer. As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, and Hadoop. Fast learner and experience with other common big data open source technologies is a big plus.
$57.5 - $67.5 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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We are seeking a Senior Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want you to join us as a full-time Senior Data Engineer into our Data Pipeline team. You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Responsibilities:We are looking for experienced Data Scientists to influence the product roadmaps for the Ad Growth team. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apple Hardware Engineering is looking for a contract engineer to support the ECAD team, develop and present training material and contribute to the methodologies, vendor tools, workflows and custom applications used to create electrical designs and bring them to fabrication.
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We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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The OpportunityAs a Senior Data Integration Engineer, you will play a pivotal role in our data infrastructure team. Relevant certifications (, AWS Certified Big Data - Specialty, Google Professional Data Engineer) would be advantageous.
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Within the Software organization, and Application Frameworks and Infrastructure group is responsible for developing data representations of the customer's FPGA design through its various stages of compilation - from RTL to synthesized gates, placement and routing - as well as the mechanisms to analyze that information.
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A senior Desktop Support Engineer who is responsible for troubleshooting and resolving issues for end users and executives/ VIPs. Issues can be related to installation, configuration, performance, functionality or compatibility of a product or service.
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The Interdisciplinary Aerospace Engineer will support aeronautics research within the Aviation Systems Division (Code AF) at NASA Ames Research Center. Conduct analysis on simulation or flight test data to compare the AAM airspace performance against system performance metrics.
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Statistics - Data analysis, Measurement System Analysis (MSA), Gage R&R, Component Qualification along the lines of PPAP, Statistical process control, Lead and execute Design of Experiments. Role name: Manufacturing Engineer.
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A high-visibility assembly of Data Scientists and Machine Learning Experts dedicated to revolutionizing ad experiences with unparalleled precision in Relevancy and Ranking within the retail giant's ecosystem.
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Title: data engineer Company: Mercury Data Science in Cupertino, CA
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