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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling.
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We have partnered with our client in their search for a Big Data/ETL Developer for a Hybrid Role in either San Diego, CA or Plano, TX.Responsibilities 3-5 years’ experience developing DB schemas, creating ETLs, and familiar with Hadoop/MPP systems.
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2 years managing SEO at the enterprise level SQL and big data mining experience SEO technical experience SEO certification a big plus. Strong understanding of SEM, social media and eCommerce Expert in utilizing SEO tools such as SEMRush, Ahrefs, Conductor, Google AdWords, screaming frog or other SEO tools Advanced experience with Google Analytics 360, Google Search Console Experience working with CMS environments such as Sitecore and WordPress Knowledge of HTML/CSS and website administration.
Full-timeRemoteExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Statistical programming skills (Python or R) and big data manipulation in SQL; (a plus to have experience building predictive models) Deep knowledge on key marketing channels (TV/OTT, Search, Social, Programmatic, and offline) and experience with MMM and MTA measurement solutions.
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Competency in Analytics, Machine Learning, Data Science, Enterprise Search, AI technologies is a big plus. Experience with any or all of the following technologies: Azure, Azure SQL, Azure DevOps, CosmosDB, Kubernetes, Docker.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This is a great opportunity to work full stack from geospatial visualization UIs, down through the big data services used to detect real-world anomalies. At Amazon Web Services (AWS) we leverage big data technologies and deep network analytics to model, build and run one of the largest networks in the world.
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The ideal candidate will have strong analytical and financial modeling skills in a big data environment, a drive to understand and inspect the granular operational metrics of the organization, and the ability to articulate their data driven POV on Marketing ROI to influence investment decisions.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, “big data” techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc. Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality.
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We are the backend data engineering team for the eBay search engine. Experience with Big Data technologies like Hadoop, Spark, Flink and Kafka. Search Data Engineering is a backend platform with pipelines for acquiring, transforming, annotating & storing inventory data, and aggregating dynamic demand, performance and pricing intelligence for eBay inventory to power search ranking and experiences.
$135,200 - $205,700Full-timeExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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Tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Data Analysis and Predictive Modeling: Perform statistical data analysis. Utilize data insights for capacity planning, demand forecasting, and identifying performance bottlenecks.
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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.
ExpandApply NowActive JobUpdated 6 days ago
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