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We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Discovery, universal search, movies, tv shows, streaming, Online marketing, movie marketing, sports, games, media buying, creative services, entertainment data, and VOD availability data.
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Advanced degrees, certifications and significant experience in data architecture, data management, Data Science, Azure Cloud Big Data technologies, Azure Data Lake Storage, Kafka, Air Flow, Stream Analytics, Databricks, Spark, Databricks SQL Analytics, Notebooks, MLflow, Snowflake, Snowflake SQL, Snowpark, Cosmos DB, Alation, Python, R, Java, Scala, Azure functions, Advanced Analytics and AI Client libraries, KsqlDB, FHIR/Rest API, GraphQL API, Power BI etc.
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields.
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Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics technologies, especially Apache Spark, Flink, AirFlow, and related software in a large scale environment.
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Experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc. Demonstrates technical leadership and subject matter expertise on Cloud architectures and offerings in the modern data center.
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Blockchain, Smart Contracts, Blockchain Oracles, Cryptography, Decentralized Systems, Data Security, Data Aggregation, DeFi, Web APIs, and IoT. Chainlink Web3 services enhance smart contracts by connecting them to real-world data sources and off-chain computation across any blockchain and provide global enterprises with a universal gateway to all blockchains.
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Custom financial software development, Multi-asset trading platforms, Equities/Options/OTC/Forex/Crypto trading platforms, Matching engines, Order management systems, Pre- and post- trade risk management, Pricing engine, Trading & data analytics, Market data visualization, Compliance, Wealth management platforms, Web, mobile, desktop trading platforms, Augmented reality trading desk, and Real-time, historical market data API.
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Snowflake + Databricks + Azure Data Factory with Python+ Java. Good hands-on experience on Snowflake Data Warehouse. Design, develop & maintain data platform services for varied use cases such as Data Extraction, Data Processing, Data Ingestion, Data Observability and Data Discovery.
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Zensar Technologies is seeking a Data Engineer (Matillion specialist with Tableau) remote in the US. We are accepting contractor or fulltime employees for this role. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity.
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Responsible to proactively monitor the external landscape and emerging data and recommending adjustments to the approved product strategy, or lifecycle management additions to the strategy as appropriate to ensure the maximal value of the product development plan to Karyopharm and to patients from both a development and commercialization perspective.
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5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue. Demonstrated work experience with handling streaming/timeseries data using AWS Kinesis/AWS managed Kafka.
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Minimum 10 years of relevant experience as a product management, data science, or visualization leader for products and/or platforms, from strategy to market, to ongoing improvements. Deliver Product Performance Reporting: Develop and provide product performance reporting to executives and key governing committees, inclusive of benchmark data in partnership with SVP of Deposits and business partners.
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Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing. If you have a passion for search and retrieval, emerging LLM modeling techniques and recommender system at scale, this role offers an invaluable opportunity to spearhead progress.
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In depth experience leading an Account Management, Solutions or Customer Success organization, working with global Ad Tech Platforms, Publishers and / or Data Companies. Exceptional working knowledge around ad tech, SSPs, DSPs, data companies and the programmatic landscape.
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