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Design, build, and maintain scalable and reliable data pipelines using Infrastructure as Code (IaC) principles and Databricks along with Datadog. Develop and optimize big data processing using Spark and PySpark within the Databricks environment.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation. 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.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Additionally, you will work closely with the Senior Data Architect to maintain and enhance our current infrastructure (AWS, Databricks, Tableau) to ensure data accessibility for data scientists and analysts.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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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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Experience leveraging cloud-based data platforms such as Snowflake, Databricks, and ELT tools such as FiveTran and dbt. As the CDO, you will have overarching responsibility for defining and developing the firm's data management framework, encompassing data architecture, data governance, and data quality standards.
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3 year of experience in Banking industry specifically in Financial Crimes Data Governance for Sanction Screening, Anti Money Laundering and KYC. Will closely work with Chief Data Office (CDO) and Financial Crimes Data Officer teams to handle the data analysis requests, internal controls, performance tuning, impact analysis requests.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The Physician Billing Department (PBD) at Memorial Sloan Kettering is seeking aClinical Data Specialistto join theirSurgical Codingteam! In this role you will ensure that all data is optimally coded for research purposes, financial reimbursement, and regulatory reporting.
$30.77 - $47.75ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At The Vita Coco Company, compensation decisions are dependent upon a variety of factors, which may include, but are not limited to: skill set, experience, education, training, licensure and certifications, knowledge and abilities of the applicant, alignment with market data, and other business and organizational needs.
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Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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Title: data specialist Company: Rehabpath in Jersey City, NJ
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