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Significant experience with cloud platforms (AWS) and building data pipelines Expertise in distributed systems, microservices, and big data technologies (e.g., Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Job Description: The Role The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
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As a Senior Epidemiologist and Data Scientist in Epidemiology and Patient Data Products, you will be a core member of a team of epidemiologists, data scientists, and data engineers building a powerful computational platform for advancing the discovery and development of new medicines.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Expertise in DevOps, DevSecOps and emergent experience with DataSecOps and Data Governance practices — deep experience with managing and scaling container-based infrastructure-as-code technologies from the CNCF.Ability to transform business requirements into production-ready software componentsStrong end-to-end ownership, autonomy, and a good sense of urgency to enable proper self-prioritizationProduction experience with modern observability tools (Prometheus, Grafana, Datadog, etc.
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Reconciliation and Data IntegrityReview reconciliation between Northern Trust and custodians; act as escalation point for Northern Trust with any issues and maintain aging reportMaintain data integrity and security master requirements and interfaces between various internal systemsResponsible for start of day process by ensuring trading platform is ready and data exceptions are resolved.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions ( Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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Data Migration: Plan and oversee the migration of QMS data from TrackWise to Veeva QMS. This role requires a deep understanding of both the business and IT aspects of Quality Management Systems (QMS), particularly in migrating data from TrackWise to Veeva QMS. The SME will play a critical role in responding to RFPs with technical approaches, crafting solution proposals, and leading significant implementation projects.
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Must have 2 years of experience developing packages, data models, jobs; reviewing data, metrics, and requirements; using Power BI, ETL, SSIS, SSRS, SSAS,. Headquarters: Woburn, MA. Develop, design, code, test, debug, and document packages, pipelines, data models, projects, programs, upgrades and deployments.
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Strong analytical skills for data analysis, utilizing tools like statistical software and data visualization techniques. Proficiency in materials characterization tools such as Inductively Coupled Plasma (ICP), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM/EDS.
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Leadership Competencies and Personal Traits: Creative Thinker and Storyteller: Passionate about crafting big ideas and effective content experiences that inform, engage, and motivate audiences.
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Familiarity with next-generation sequence data analysis tools● Basic understanding of molecular biology and next generation sequencing is highly preferred● Familiarity with single cell data analysis is preferred, but not required.
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big data jobs Title: senior data Company: Eteam in Waltham, MA
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