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4+ years of experience covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
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Knowledge of the digital and industry 4.0 technologies that can enhance the shopfloor or operations performance, such as IoT, cloud computing, big data analytics, artificial intelligence, robotics, additive manufacturing, etc.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Experienced Data Engineer working with the latest Big Data technologies and tools (Snowflake, Airflow, AWS) 2+ years of Big Data, Data Lake or Data Warehouse experience is desired.
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We use a variety of technology, from big data to open source frameworks including AI/ML, to integrate and present meaningful analytical insights into clinical trial business needs and customer uses.
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Labcorp is implementing an exciting new "big data" approach to cancer testing. We are integrating the test results from our national oncology testing business into an enterprise data warehouse to enable a variety of data mining applications.
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The BI Project Analyst/Developer will support and implement solutions that lead to actionable insights, make predictions or generate recommendations using best-in-breed tools to harness various disparate data sources coupled with our big data platform.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Advanced Excel skills (big data analysis, pivot tables, VLOOKUP,etc.) Explore data within SAP/Supply Chain tools (SCII) to develop Power BI reporting for Regional Logistics Analytical needs.
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Preferred Skills: Snowflake API Development Skills Big Data Skills. The Customer Data Technology group supporting our Wealth Management Domain within Fidelity’s Personal Investing (PI) organization is seeking a Principal Full Stack Engineer to aid in our migration to the Cloud.
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The Business Director of Advanced Analytics (AA) is responsible to lead the analyses of ViiV Healthcare business performance utilizing advanced analytic techniques and big data sources to identify opportunities and risks for the brands and support the execution of our vision and goals.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Support data center carbon reduction and Net Zero roadmap planning efforts (e.g., researching relevant external GHG and Net Zero standards, supporting quarterly KPI scoring and tracking). Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily.
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Duties include but are not limited to gathering and documenting requirements for new as well as changes to existing data extracts and report, developing complex queries against big tables storing CLOBS/XML, necessary supporting data structures, and report layouts, and writing effective SQL queries that perform well even against large tables.
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Duties include but are not limited to gathering and documenting requirements for new as well as changes to existing data extracts and reports, developing complex queries against big tables storing CLOBS/XML, necessary supporting data structures, and report layouts, and writing effective SQL queries that perform well even against large tables.
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If you are a person who influences others in a way that feels like a trusted advisor and advocate, is energized by collaboration, sees the big picture, and aspires to provide the best caliber of data to our customers, then you'll be right at home here at BioAgilytix.
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