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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Tools and Technologies : Proficiency in data movement and integration tools like SQL, dbt, Qlik-Talend, AWS Lambda, AWS Glue, Informatica, Python, and Java. Strong knowledge of SQL, relational, and MPP databases (e.g., Snowflake, PostgreSQL, Redshift.
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Are you a Commissioning Engineer from an automation or robotics background looking for an exciting new opportunity to work with an expanding company that deliver state-of-the-art solutions to big name companies and offer unrivalled career progression alongside a brilliant renumeration package.
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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 13 days ago - UpvoteDownvoteShare Job
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Enters basic pre-test patient data and imaging data into Apollo (medical history, radiopharmaceutical doses and administration time, etc.) Analyzes cardiac rehab program outcomes for group data as a foundation for quality improvement.
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Be part of a computational team focused on utilizing computational and systems biology approaches to analyze multi-omics data supporting Takeda drug discovery and development projects. Demonstrated experience in large scale multi-omics (e.g. bulk or single-cell, spatial sequencing, proteomics, epigenetics, and more), multi-modal data integration, network analysis, and meta-analyses.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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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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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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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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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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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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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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Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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big data jobs Title: caregiver in Boston, MA
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