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Focused on software development life cycle, you will collaborate with the Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by technology.
$62.14 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Master Data Management: Informatica MDM. Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
ExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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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 (e.g., Eagle, State Street Alpha platform.
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Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ.
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Meta data management/Data Catalog: Informatica EDC. Data Security: Experience in working within compliance (e.g.: quality, regulatory – data privacy, GxP, SOX) and cybersecurity requirements is a plus.
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Work with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions. The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
$105,100 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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. 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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Nova Data provides both on the job and classroom training and development to further our employees' careers as an NDT Technician. Nova Data Testing is currently looking for hard-working and dependable experts as Non-Destructive Testing Technicians to support our projects in the South East and the New England regions.
$30 an hourFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Help implement data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire). Azure Data Factory, Databricks (PySpark) and Snowflake preferred. Familiarity with both batch and streaming data operations.
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Our data science team is an integrated team ranging from computational biology, bioinformatics, computational drug discovery, research informatics and data engineering. Reporting to the Senior Director of Data Engineering, the candidate will work collaboratively with biologists, chemists, and data scientists, leveraging skills in data engineering to enable data capture, integration, reporting, and computational insight delivery from our computer systems to support hypothesis generation, data insights, and data science for advancing Fog preclinical drug discovery.
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data job Title: caregiver in Medford, MA
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