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Bachelor’s degree in visual design or technical field, such as Media Arts or Computer Science. Experience in augmented reality environments like Spark AR, Lens Studio, ARKit or ARCore. You’ll work independently but also collaborate with creative, design, engineering, research, data, and marketing partners to identify and implement creative/technical solutions throughout all phases of the product development cycle.
Full-timeExpandUpdated 24 days ago - UpvoteDownvoteShare Job
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Research Scientist, Central Applied Science (PhD) Responsibilities Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
$116,002 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Nmero de vagas: 10 Regime de contratao de tipo: Outros Jornada: Perodo Integral rea e especializao profissional: Informtica, TI, Telecomunicaes - Processamento de Dados Nvel hierrquico: Analista VALORIZADO Tempo de experincia: Entre 3 e 5 anos HABILIDADES Hadoop Impala Hive Spark AI machine learning Data Science / Data Engineer SQL R Python TI/Tecnologa de la informacin Agile Lean ETL Data Analytics.
Work from homeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Engineers will have the opportunity to work with our teams of media buyers who are engaged in direct arbitrage activities, our accounts teams who work with our larger publisher network, and our data science and analysis team, who are working on a combination of analysis and machine learning to create insights and optimize our marketplace.
$120,000 - $175,000 an hourFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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1+ years of experience in data engineering while applying DWH/ETL best practices in traditional SQL (Snowflake or Spark) can be during the studies. The Paylocity Data Practice is a cross-functional group comprised of Data Engineering and Data Warehousing, Data Science, Reporting, and Data Insights.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Perform other duties as assignedQualifications and Education Requirements:Degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experienceWorking knowledge of message-oriented middleware/streaming data technologies such as Kafka, MQ, Azure Event Hub, Spark, Spark StreamingMust have strong programming skills / experience in C.
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We provide arange of services: from Data Management, Data Science & Analytics, to API Management/Integration and Artificial Intelligence. Experience with big data technologies (Hadoop, Spark, Kafka, etc.
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We are looking for a Data Science / Data Engineer to join our Development team and participate in different projects made up of multicultural teams distributed throughout the world.
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Hands-on experience in configuring Azure Event Hub, Event Grid, Stream Analytics, logic/function apps and JSON.Expert-level skills in Python, Databricks, Azure Data FactoryExperienced in the use of ETL tools and techniques and have knowledge of CI/CDExperience & Expertise in cloud NoSQL databases, ideally Cosmos DB or equivalent.
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Some of the tools we use are Snowflake, Python, Spark, AWS (Lambda, Kinesis, EMR, Glue, Managed Airflow, RDS, Redshift, DMS, etc. As an Associate Data Engineer under the Data Engineering team, you will be part of the pivotal team in designing, creating, deploying, and maintaining Paylocity's data across different data entities and systems.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred.
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Architect, build, and maintain scalable multi-tiered systems to handle complex data workflows and integration pipelines. c#, matlab, php, python, software development engineer, software engineer, software programmer, sw.
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You have heard about the Snowflake and would like to learn the modern approach to building data pipelines. You will be able to learn from experienced Data Engineers and expand your data engineering knowledge.
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Work with seniors as well as Data Engineering and IT to plan and deliver MLOps for AI/ML infrastructure and SaaS API services as member of data science team through collaboration. Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins.
RemoteExpandUpdated 9 days ago
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