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You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Alluxio is seeking a Solutions Engineering Manager to join the Enterprise Field Sales Team in representing the Alluxio Data Orchestration Platform to the marketplace.
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Must have 3 years of experience in at least 1 of the following:Distributed Processing (Spark, Hadoop, or EMR);Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL);MPP (AWS Redshift, or Teradata);NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan);Cloud Platforms (AWS, Azure, Google Platform, or Databricks);Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID.
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Experience in one or more of the following: cloud infrastructure, SaaS, big data, security and privacy, development and operations, or artificial intelligence/machine learning. As a Google Cloud Senior Product Manager, you will drive product strategy and partner closely with cross-functional teams to define and deliver on the next phase of cloud services.
$164,000 - $252,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Implement highly resilient and reliable streaming data pipelines leveraging Kafka, Spark or Flink.
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Government and Public Sector – Data Analytics - Cloud Engineer - Manager. Certified Cloud Solution Architect with AWS, Microsoft Azure, or Google Cloud Platform.
$128,400 - $235,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist in the Garage, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across large number of customer records to harness the power of AI in unlocking the big opportunities to improve customer experience.
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Knowledge of data testing in DBT and Google Cloud certifications are a big plus. 3+ Years of relevant experience in Google Cloud services such as BigQuery, GCS, Cloud SQL, ML, DataStudio, or similar Cloud services experience.
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Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud). Job Description Summary: The PayPal Global Revolve Consumer Analytics team is looking for a Checkout Analytics Manager who goes above and beyond simply providing reports and analyses.
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Knowledge of IT and operations strategy topics (e.g. IT strategy, business transformation, operating models, operations optimization, cost take-out, business / product build, digital enablement, big data and enterprise architecture, strategic data management.
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There are multiple areas of specialization available such as Search, Distributed Services, Big Data platforms, Cloud, Infrastructure, and more. We work with emerging technology solutions including Google Cloud Platform, Machine Learning, Kafka Streams, OpenShift, NoSQL, Cassandra, Spring, Java, Groovy, and REST-based web services.
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Experience in domain areas such as API management, big data, infrastructure, compute, or developer operations. Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
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At least 5 years' experience utilizing cloud-based solutions (AWS, Azure, Google Cloud) You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Experience in building user-facing big data analytics products (on-premises and/or cloud) is a strong plus. Familiarity with big data query engines such as Apache Hive, Apache Drill, Apache Spark, Druid and orchestration frameworks such as Kubernetes is a plus.
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Experience working in the weeds with data using tools such as Microsoft Excel, Google Analytics, Looker/Looker Studio, Tableau, Google Cloud Projects/Big Query, Google Search Console, SQL, and/or other common reporting platforms.
$90,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated Today
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