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At least 1 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Senior Data Warehouse Architect is a critical member of the Digital Analytics, Enterprise Data Warehouse Data Architecture team. We are currently seeking a Senior Data Warehouse Architect w/Data Analytics for our client in the Healthcare domain.
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Understand Data warehouse and Data mart models to define manual and automation testing processes for semantic layer designs on enterprise self-service reporting. The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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And domain-led (e.g., role-based awareness) cyber risk mitigation initiatives in close collaboration with the Digital Risk Leader for ERP and Finance data domains, amongst others. Holistic oversight over cyber & data risks/security topics: setting the vision in line with global Cybersecurity and Data strategy, providing directions and support to relevant cyber & data security initiatives in the Governance domain and its satellite initiatives.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Experience with data warehouse/lakehouse architectures for business intelligence. Job Title : Data Analyst, Finance & Product. We are looking for a talented and driven Data Analyst to write and maintain data pipelines, understand our business programs using both internal data and public blockchain data, and create reports and analysis to drive data-driven decision-making across our organization.
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At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects.
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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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Verve is seeking a highly motivated and talented Scientist with experience in implementation, evaluation and application of statistical methods for the analysis of next generation sequencing (NGS) data to join our Computational Biology team.
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The successful candidate will join the Model Risk Management and Validation Group (MRM&V).
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data warehouse jobs Title: analyst Company: Thermo Fisher Scientific in Boston, Lahaina, Hawaii
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