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You collaborate and develop/maintain relationships inside and outside the organization· Familiarity with Aladdin, data visualization tools (Tableau, PowerBI) and/or Python is a plus, but not necessary Southern California Base Salary Range: $131,596-$210,554.
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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
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We are seeking a talented and highly motivated engineer with a B.S. in Mechanical Engineering or equivalent, and 15+ years of plumbing and fire protection design and management experience is highly desired.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2 years of experience understanding genetic mutations and their impact on the biological functionality of proteins, experience with genetic medicines including gene-therapy, gene-editing, cell therapy, mRNA and RNA silencing experience with pharmacokinetic, pharmacodynamics data and safety data.
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Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging. Given that the majority of Engineering teams in the company already leverage our product in production, you'll have the chance to positively impact virtually any product under the Bloomberg umbrella by joining our team.
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Currently pursuing an undergraduate or graduate degree in civil engineering, electrical engineering, construction management or related. Field engineering, operation planning, cost control, project scheduling, quantity tracking, material procurement, contract administration, estimating & supervision of field activities.
$24 an hourInternExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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This includes (as examples) knowledge of risks related to banking technology, emerging risks related to digitization of bank technology services, the use of cloud computing / services, third party vendors and associated risk management, data protection, data processing and execution, data quality management, software licensing, and general computing and application controls.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
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Strengthen corporate best practices around data engineering software development processes. This role will report to a Director of Data Engineering. How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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A proven track record with 1-3 years in business intelligence, data engineering, or a similar role where data visualization isn’t just a task—it’s an art. Partner with our innovative teams to weave complex data into compelling narratives for business optimization.
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As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Students will be placed in one of the following areas: Global Equity Sales & Trading Prime Services Global Analytics & Financial Engineering Global Fixed Income Debt Capital Markets Derivative Products Group Credit Derivatives Equity Research Structured Credit Commodities The objective of the internship is to identify exceptional candidates for full-time opportunities or a second internship with the GBM Capital Markets team.
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engineering capital data jobs Title: engineer data Company: Capital One in Jersey City, NJ
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