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Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implement databases, and managing security, data sources and metadata.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. experience with neuroimaging tools (SPM, AFNI, FSL) is preferred but not required. Posted Job Title Data Analyst Associate Job Profile Title Database Technician Job Description Summary Data Analyst Associate The Psychiatric and Developmental Neuroimaging Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI.
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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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Designs and maintains complex ETL processes that load multiple data sources and data files via SSIS. 3. DCI Donor Services is seeking a Data Interface Engineer who can help navigate the analytics using business intelligence solutions to achieve organizational goals.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.
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ESSENTIAL DUTIES & RESPONSIBILITIESThe Regional Data Coordinator key areas of responsibility include:Key Areas of Responsibility:Serve as the primary data evaluator and needs identifier for their Service Planning Area (SPA.
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Experience: Twelve (12) years of hands-on experience with a USMC supply, maintenance or logistics IT system, GCSS-MC, to includethree (3) of the following five (5) areas: Systems Requirements, Operational Requirements, Data Analysis, Test & Evaluation, and Training.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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About the Role The Enterprise Data Administrator reports to the Chief Information Officer and works with the other members of the Administrative Computing team to administer and support the university’s ERP system (Ellucian Banner) and its integrations with third-party applications (file-based, API, and web services), particularly operational reporting tools.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Under direct supervision from Biostatistician and PI may perform basic analyses on a variety of data formats. Manage Duke internal and multi-site databases, including data cleaning, transformation, importing, and restructuring to uphold data accuracy, integrity, and compliance with institutional policies, with support from the technical team lead and the Program Manager: 15% Training and Documentation (30.
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Title: data Company: Tmpc
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