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Ads Measurement's mission is to help marketers and brands realize their true business value generated by TikTok across all of their paid channels. As a Frontend Engineer on the Ads Measurement team, you will build scalable tech foundations, launch various products, and provide the best user experience.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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Software Tools Used are: Ansoft HFSS, Agilent ADS and Momentum, Cadence Allegro and Virtuoso Layout. Proficiency with circuit simulation tools (such as ADS/GoldenGate/spectreRF) and electromagnetic simulation tools (such as HFSS/EMX/Momentum.
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This role is pivotal in driving our digital marketing efforts across Google Ads, Meta, TikTok and other platforms. Execute paid ad campaign setup, QC, and optimization across networks (Google, Meta, TikTok, etc) with a focus on high ROAS, low CAC conversion focused campaigns & supplemental awareness campaigns.
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Basic Qualification : Must have hands-on working experience with Amazon AWS, Google GCP or MS Azure Must have hands-on experience building large scale distributed serving system Must have experiences of Linux and Shell scripting Must have good communication skills Must have great problem solving skills Prefer knowledge of MongoDB, Kafka/firehose, Redis, Spark/Spark Streaming/Spark SQL,Redshift, or other data warehousing solutions.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Knowledge of simulation tools such as Keysight ADS, Mathworks QCD, etc. Knowledge of simulation tools such as Keysight ADS, Mathworks QCD, etc. Knowledge of simulation/modeling, schematic capture, and PCB layout tools from Cadence, Altium and others etc.
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Extensive experience in linear/nonlinear simulations with ADS or Cadence, and EM simulations through FEM, Momentum and/or HFSS. Must be experienced with RF/microwave test equipment such as network analyzer, probe station, source/load pull system, and signal sources/analyzers that deal with modulated signals.
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Identify and size opportunities in Zscaler’s advertising accounts (such as Google Ads, LinkedIn ads, Facebook ads, etc.) Our digital marketing team is looking for a seasoned Sr. Digital Marketing Manager, who will focus on demand generation and integrated digital ads campaigns globally.
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The leadership team at SafeAI brings a unique blend of autonomous technology and industry specific experience from some of the top companies in the world, such as Google, Apple, Tesla, Continental, Uber, Caterpillar, BHP and Rio Tinto.
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Data Analysis: Utilize analytical techniques to conduct prescriptive, diagnostic, descriptive, and predictive data analysis on diverse construction-related data, incorporating data from Quickbase, eBuilder, SAP, and Google Sheets.
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Create and deploy large-scale, containerized applications using Docker and Kubernetes in public clouds like Google GCP and Microsoft Azure. Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers.
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You will also be responsible in building healthy DevOps platform with policies and procedures around implementing and supporting our global hybrid cloud container strategies using Kubernetes deployed in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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