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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Exposure to Big Data managed services such as Azure HDInsight, Databricks, Azure Kubernetes Service and AWS EMR. Exposure to managed AI/ML services such as AWS SageMaker/Azure Machine Learning to derive predictive analytical models.
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Proficiency in data ingestion, modeling, and visualization tools, such as Snowflake, Microsoft Azure Data Factory (ADF), and Power BI. 7+ years of experience in designing and implementing enterprise data stores, data warehouses, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, using tools like Azure Synapse or Snowflake.
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The ideal candidate will have healthcare data/AI experience and background in genomics and real-world evidence data studies. Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses.
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Build, configure, and manage CI/CD pipelines on Azure DevOps for ETL and data processing tasks. - Expertise in Python and Apache Spark for large-scale data processing. - Optimize Azure Data Lake Storage (ADLS Gen2) to store and manage raw and processed data efficiently, ensuring proper access control and data security.
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Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau). In partnership with the HR Enablement Director and the HR Data & People Analytics team, you will be an integral part of the development of a comprehensive people analytics strategy and play an active role leading its execution.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Experience in combined heat and power/cogeneration, central utility plants, data centers, healthcare facilities, laboratories, water/wastewater facilities, building automation system controls, building envelope, test & balance, NETA electrical testing, renewable energy and other specialties a plus.
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Evaluate and illuminate business opportunities to put into research and development for well-being and health products, data, research and partnerships. Responsible to lead partnerships with health advisor community, support research execution to enable scientific paper execution, institutional research, and third-party data.
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Job Title: Senior Data Engineer (Remote - California) Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Familiarity with data warehousing solutions (Snowflake, Redshift.
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big data jobs Company: Centers Health Care in Minneapolis, MN
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