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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Expert experience with data warehouse design, data modeling, ETL design, cloud-first data integration techniques, report development, and data visualization concepts.
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4+ years of expertise in cloud-based database platforms, SQL-based data warehouse design and data modeling (AWS and Snowflake preferred) Lead data onboarding and data warehouse enhancement projects, including integration of campaign data, clinical operations, and de-identified patient information.
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Expert experience with data warehouse design, data modeling, ETL design and cloud-first data integration techniques, report development and data visualization concepts.
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Familiarity with healthcare data standards (e.g., SNOMED, LOINC, ICD-10, CPT) and data exchange formats (HL7, FHIR) as well as knowledge of healthcare data privacy and security regulations, such as HIPAA and HITECH.
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Capturing and managing metadata information by leveraging metadata management solutions like Collibra Data Governance, Informatica Axon, or IBM InfoSphere Information Governance Catalog. Managing data assets, policies, and stewardship activities by using data governance platforms like Collibra, Alation, or Informatica Axon.
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Documenting and enforcing data governance policies using platforms like Collibra Data Governance or Informatica Axon, which include policy management and enforcement features. Proficiency in using data management tools and platforms, such as data cataloging software(e.g., Collibra, Alation), data quality tools (e.g., Informatica, Talend), and data governance platforms (e.g., IBM Data Governance, SAP Data Intelligence.
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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Experience with tools that make up modern data stack, such as: Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc. Scale Global Partner's ability to democratize data by leveraging a Modern Data Stack (Snowflake, dbt, Fivetran, DataBricks, Census, Dagster, etc.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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2+ years of experience with Azure Data Factory, Azure Data Lake Gen2, Azure Databricks, Blob Storage, Azure SQL Database, Azure App Service, and Azure functions. 2+ years of experience with Big Data Technologies such as: Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala, or Pig.
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data warehouse jobs Title: data Company: Verizon Wireless in Bedford, MA
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