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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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The Department is home to research labs in AI, machine learning, computer vision, big data analytics, programming languages, cryptography, computer security, and software systems, and is the main constituent of the Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary research center that brings together over 100 faculty members across the University.
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By using SQL, Tableau, and Looker to create more sophisticated predictive modeling techniques and data visualizations to provide better revenue projections. If you’re doing Financial Planning and Analysis modeling inside a big media or ad tech company, come take your programmatic game to the top.
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Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
$136,800 - $259,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with Big Data, AI, automation, end user experience and service management technologies along with cloud technologies including containers, Kubernetes, cloud-native services, storage, networking, and commercial models at a high level.
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Experience with big data tools: Hadoop, Spark, Kafka, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
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Experience in Docker or other containerization technologies and big data technologies (Hadoop, Spark) We are seeking a highly motivated and skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops or other Data Engineering workloads.
$170,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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Review Extraction, Transformation, Load strategies (ETL) for data from a wide variety of data sources using SQL, cloud, and ‘big data’ technologies; Strong hands-on experience with a Master Data Management (MDM) implementation that serves a large enterprise.
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2+ years of operational experience with industry-leading "big data" services technologies Be an enthusiastic learner, user, and advocate of our technologies Experience working with AWS APIs And Ideally: Experience deploying distributed, microservice oriented applications Experience with Java build tools including Gradle Experience with Helm Experience with Go and Java/Kotlin/Kops If you’ve reached this point, and you’re still not sure if you should apply.
$142,000 - $189,333.33 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Big Data Engineering with Spark / AWS EMR & Glue. We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in Client, DL, NLP, data mining and/or large-scale distributed computation.
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Exposure & experience working with Insurtech companies and hyper-scale software companiesTechnical acumen to build custom demos, wireframes and solution designs &/or an understanding of big data or data science.
$180,000 - $204,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The ideal candidate is a Data Engineer with considerable experience in migrations and Big Data frameworks. The Data Engineer will be focused on migrating data pipelines from legacy infrastructure and frameworks to more modern infrastructure.
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And big data pipelines and databasesExperience in AI applied research, preferably in Natural Language Processing (NLP) and industrial recommender systemsExperience as the tech lead for an engineering or research teamA high bar for engineering excellence in terms of practices and processesBenefits are an essential part of your total compensation for the work you do every day.
$149,200 - $234,850Full-timeExpandApply NowActive JobUpdated Yesterday
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