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Certifications with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
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Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Required 5 years - Experience with Cloud architecture and design (Azure, Google, AWS.
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Extensive knowledge of online advertising media channels, including Search, Display, Social, Contextual, Email, CTV, and OTT.Expertise in Web Analytics Platforms such as Google Analytics, Adobe Analytics, etc.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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Major companies with Austin campuses, such as Dell, National Instruments, Apple, IBM, Samsung, Google, Tesla, and many others, continue to recruit Cockrell School students at a remarkable rate, launching thousands of successful careers and developing Texas Engineers into industry leaders.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Participate in development and production support of non-ETL applications like Master Data Management (MDM), Qlik Sense (for BI Analytics), TIDAL (Enterprise Job Scheduler), etc. Knowledge of a reporting/analytics/Business Intelligence (BI, Qlik Sense, Tableau, etc.
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Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain. We are seeking a highly skilled and experienced Data Engineer to join our HR Data and Analytics Team. As an Experienced Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
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Experience with software from Xero, Netsuite, Syft Analytics, Float, SAP, Sage. Experience with software from Xero, Netsuite, Syft Analytics, Float, SAP, Sage. Servicing various industries and markets worldwide, including Real Estate & Aquatics, Municipal & Wastewater Treatment, Food & Beverage, and Oil & Gas, our focus is on recovering and recycling different waters in a centralized or distributed way.
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This Senior Data Scientist is also responsible for driving new, innovative solutions that elevate analytics capabilities and proposing data-driven process improvements that empower and enable Support Engineers in the customer support organization.
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Business Intelligence Strategy: Develop and execute a comprehensive business intelligence strategy that aligns with organizational goals and objectives, leveraging data analytics to drive actionable insights and inform strategic initiatives.
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The LCRR Regional Lead should have working knowledge of drinking water utility asset management programs, GIS, and applications for data analytics for dashboard development. The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Typescript, React, GraphQL (Apollo), Node.js, Next.js, Tailwind, Google Cloud, App Engine, Cloud Functions, Cloud Firestore, Big Query. Typescript, React, GraphQL (Apollo), Node.js, Next.js, Tailwind, Google Cloud, App Engine, Cloud Functions, Cloud Firestore, Big Query.
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