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Develop and execute comprehensive paid media strategies that align with business goals, including but not limited to search engine marketing (SEM), display advertising, paid social media, and programmatic advertising utilizing paid media platforms such as Google, Meta, YouTube and Tiktok.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Proficiency with one of the Cloud data-warehouses / data-lakes like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks. Deep understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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.
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Familiarity with:Writing code in programming languages commonly used for web development: HTML, CSS, Javascript, TypescriptDatabases: SQLModern UI frameworksWorking in cloud-based environments: AWS, GCP, AzureSpreadsheet formulas: Excel, Google SheetsThe VALORANT Esports ecosystem (players, teams, leagues, tournaments)Experience and knowledge of Valorant statisticsKnowledge of League of Legends gameplayHigh growth-oriented mindset with a strong internal need for achievement.
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Knowledge of clickstream and conversion data (Google Analytics, Adobe Analytics, AppsFlyer ). Expert experience with data visualization tools like DOMO , Tableau, preferred. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on THE TEAM We are excited about music, live entertainment, marketing, data, and technology.
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Proven track record of planning and executing multi-channel digital media strategies and campaigns focused on LinkedIn, e-mail, search, Twitter, and other leading digital channels Experience working with creative teams to effectively bring marketing strategies to life with visually engaging static and motion graphics that help meet and exceed strategic objectives.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpoints. As a Senior Data Engineer, you'll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (AWS, Azure, Google Cloud) By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process, ultimately helping companies find the best talent and individuals find their dream jobs.
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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
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Work with Global Systems Integrators (GSI), Regional Systems Integrators (RSI) and Solutions Partners to design, develop and support the implementation of AI solutions built on Google Cloud. Recommend integration and migration strategies, enterprise architectures, platforms, and application infrastructure required for AI solutions on Google Cloud.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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At ERI, the Business Data Analyst will not only produce rigorous quantitative and qualitative research, but will also help shape the messaging and strategic frameworks that influence public policy, grant making, coalition building, and on-the-ground campaigns.
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