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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. AT A GLANCEWe are looking to hire a Data Scientist to join our RVO Health data science team.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Minimum Requirements Bachelor's Degree (in Natural Science/Biology, preferred) or a combination of related education and work experience to equal four years. Performs data entry of routine and specialized testing.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
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Project responsibilities may include water quality sampling, survey, field data collection at wells or project sites, erosion control inspection, construction observation, sampling equipment preparation and monitoring, data reduction, spreadsheet preparation, CADD, assistance with construction plans and specifications, and assistance with report preparation.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Delivering data engineering pipelines using databricksAWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Incorporate core data management competencies including data governance, data security and data quality.
$121,000 - $199,600Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Come join CCRM Fertility, a global pioneer in fertility treatment, research, science, specializing in IVF, fertility testing, egg freezing, preimplantation genetic testing, third party reproduction and egg donation.
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For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability. Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc.
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Science Led, Enterprise Driven - Accelerating Quantum Computing. Uploading and organizing signed contracts, tagging contracts with appropriate data identifiers, calendaring compliance-related tasks, identifying contract management process improvements, and tracking contract flow and status.
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Business Insurance (BI) Analytics & Research Data Engineering team is seeking highly motivated and skilled Data Engineer to provide the design, development, and delivery of data and analytical solutions and frameworks to support data science and analytical use cases.
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Bachelor’s Degree in Engineering, Management Information Systems, IT, Computer Science or related field or equivalent, relevant experience. Technologies include 5G/OnGo, connected buildings, digital workplace, multisite deployments, data centers, and IoT.
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They will help with the surveying and mapping and collecting data. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market.
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data science jobs Title: data science lead in Minneapolis, MN
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