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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Accountability, Accountability, Active Learning, Active Listening, Bias, Coaching, Commercial Acumen, Complex Project Management, Contract Management, Creativity, Critical Thinking, Customer Experience Strategy, Data Science, Design Thinking, Empathy, Engineering Product Development, Financial Acumen, Follow-Through, Global Sourcing, Growth Mindset, Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Manufacturing Supply Chain, Negotiation {+ 4 more.
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We're looking for a Corporate Security Manager, reporting to the Head of Corporate Security to lead our US-based remote team. You’ll bring your experience to grow and lead a team of corporate security engineers to build out protections on enterprise endpoint systems (all three, but heavy on Apple), secure corporate network infrastructure, partner with IT to address enterprise risk, and engineering software to help secure our Atlassian TEAM.
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Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards, and segmentation; responsible for data integrity.
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Advanced research degree (Ph. D. or equivalent) in neuroimaging, neuroinformatics, computer science, electrical engineering, physics, applied mathematics, biomedical engineering, or neuroscience.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Their biology-focused drug discovery integrates disease biology and protein engineering to generate promising product candidates and advance them quickly to proof-of-concept studies. Interpret and analyze data using MSD Discovery Workbench, Excel, Graph Pad, JMP.
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8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc. Make smart engineering and product decisions based on data analysis and collaboration.
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You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads.
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The Qualified Member of the Engineering Department (QMED) holds an MMD with an appropriate QMED or Assistant Engineer’s rating. Make data-driven, fact-based decisions. The Qualified Member of the Engineering Department (QMED) holds an MMD with an appropriate QMED or Assistant Engineer’s rating.
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Companies such as BMW, Delta Airlines, Resolution Life Insurance, and Fannie Mae use Vendia to automate contextual and compliant data flows between any-to-any systems for a harmonized, accurate view of data that unlocks speed, innovation, and cost savings.
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PowerBI less preferredMust Haves:Data warehousing fundamentalsAt least 1 cloud-based warehouse (Redshift, BigQuery, Snowflake)ETL (Python)Experience in ML Pipeline engineering. Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Partner with FP&A stakeholders to design and develop Anaplan models for various FP&A use cases, such as budgeting, forecasting, and financial reporting. Troubleshoot and resolve Anaplan issues, ensuring smooth operation and data integrity.
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As an Engineering Design Professional - Building Physics you will be responsible for performing energy and thermal comfort analysis using a variety of industry standard and proprietary tools. Qualifications Bachelor’s degree in Architectural Engineering, Mechanical Engineering, or Physics is required.
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Performing a broad range of process engineering technology assignments such as creating, checking, and updating Mass Balance, PFDs (Process Flow Diagrams), P&IDs (Piping & Instrumentation Diagrams), utility summary, pump hydraulics, line sizing, equipment sizing, specifying pressure safety devices, instrument sizing, line list, checking vendor data.
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engineering reporting data jobs Company: Bayone in San Francisco, CA
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