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Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Airflow (or equivalent), Spark, Hive, SQL. Proficient in some of the ML training and deployment frameworks like: Tensorflow, PyTorch, TensorRT, Triton backend etc.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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 would be a plus in programming using C#, SQL, REST/SOAP; Web/Mobile Application development using Angular, PWA (Progressive Web Applications); Azure Search, Data Factory, SQL, Functions, Key Vault, and AD; Data Analytics / Data Warehousing and Modeling using Azure Analysis Services and Power BI.
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Must be proficient in the following: Core Java, JDBC Object oriented design and development principles and best practices Design patterns Spring, Hibernate SQL, Microsoft SQL Server /Oracle or any other database Nice to have: Capital Markets Experience BS or MS in Technology related discipline, Computer Science, Information Science, Engineering or Mathematics.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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Coordinate Advertising Operations, Digital Partnerships, and Paid Search for campaign trafficking and quality assurance. Strong proficiency across the following platforms: Excel, PowerPoint, SQL, Tableau, Google Analytics, DoubleClick DCM, Python, & VBA.
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Strong proficiency across the following platforms: Excel, PowerPoint, SQL, Tableau, Google Analytics, DoubleClick DCM, Python, and/or VBA. The Senior Analyst will have responsibility for campaign performance metrics as well as overall business process and network ecosystem data as it relates to defining, designing, and interpreting campaign results.
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We're in search of a Data QA Engineer with a meticulous eye for detail and a penchant for analytical thinking to join our team. Your responsibilities will include crafting and executing test strategies, managing test data, and implementing testing methodologies to uphold quality and performance standards.
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Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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Preferred QualificationsLarge Scale Cloud Data Lake/ Warehouse transformationAWS Cloud experience in Streaming, Batch Data ManagementRedshift or other large warehouse Management experienceAdvanced SQL and AnalyticsBI tools like tableau, QuicksightData Governance and Quality ControlsComputer language experience (Python, PySpark, and R)Monitoring and Alerting systems experience (AppDynamics, Splunk etc.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality. 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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We are in search of a results-driven individual for the role of Head of Data Analytics and Business Intelligence North America to propel ZEISS Business Services North America to new horizons.
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