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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You'll collaborate with our Center of Excellence (CoE) teams to craft people analytics strategies, honing in on areas like Diversity, Equity, and Inclusion, Wellbeing, Talent, and Engagement. What were looking for: Experience in designing scalable data and visualisation solutions (preferably with Google BigQuery, Looker, Microsoft, or Tableau.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Hybrid, 3 daysExperience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or FoundryExperience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
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Understanding and knowledge of Google Analytics, and other relevant tools (GA4 MixPanel, Shopify, NetSuite) for web analytics and reporting. Should have experience in integration of analytics & marketing automation tools— manual tagging, data visualization.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Potential Certifications: Microsoft Azure, Amazon Web Services, Google Cloud)Human Computer Interaction: UI/UX Experience, Usability Testing, Design Thinking Ability to manage multiple projects within and outside of classroom environment; ability to provide advising and career development for a diverse graduate student population; ability to qualify for graduate faculty status at the rank of assistant/associate professor.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale.
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. Strong understanding and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP.
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Experience with the following enterprise components: web servers (e.g., Apache HTTP Server) including and virtual host and SSL certificate management; Java application servers (e.g., Apache Tomcat); content management systems (e.g., WordPress); servers providing GIS functionality (e.g., GeoServer); relational databases (e.g., Postgres); single sign-on systems; LDAP servers; automation servers (e.g., Jenkins); analytics and user tracking (e.g., Google Analytics, Firebase, HubSpot.
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Engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Strong experience with web analytics tools such as Google Analytics, Adobe Analytics and setting up the right technical and data foundations with respect to campaign naming, taxonomy, utm parameters etc.
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Some of tools are: Google Analytics, Canva, Adobe Suite (e.g. Photoshop),SendGrid, Hubspot, Twilio SMS, Hootsuite (or, other Social Media Management Systems) Plentina was founded by two Stanford graduates that are alums of tech and finance giants including Google, NASA, Bridgewater Associates, and Charles Schwab.
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Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) - Financial Services Office (Manager) (Multiple Positions), Ernst & Young U.S. LLP, New York, NY. Cloud Platforms (AWS, Azure, Google Platform, or Databricks.
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