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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement. Experience in creating reports, dashboards, and data visualization using Microsoft Power BI. must have.
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In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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We are seeking a highly skilled and motivated Data Architect Lead for our Global Investments strategic program to join our project team. Prior experience integrating Snowflake and Databricks 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) Prior experience in data science/AI/BI tools.
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Preference will be given to candidates who are familiar with data governance and data security technology solutions Preferred Qualifications- Certifications such as CIPT, CIPM, CIPP, CISSP, CRISC, etc.
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IT/Cybersecurity: Risk management; information technology (IT); data management; fraud risk management; business continuity planning; operational risk aspects of counterparty risk management, vendor risk management, and cyber risk management.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Microsoft Azure, particularly Azure Synapse Analytics, Azure Data Factory and/or Azure Data Pipeline.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of data processing including data modeling, data transformation, ETL, and visualization techniques. Implement robust security measures to protect sensitive data and mitigate potential risks.
$150,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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This role will examine industry trends, ticketing purchase history, athletic constituent behavior patterns, media engagement, and historic athletic donation data to drive business performance in the following verticals: Revenue associated with the Premium Seating, Ticketing, and Fundraising.
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data job Title: architect Company: Zoom in Riverdale, MD
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