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Understanding of AEP guardrails for batch ingestion, streaming ingestion, RT-CDP profile, data model limits, data size limits, segmentation guardrails. Responsible to work with the data governance team to ensure privacy & compliance standards are met in AEP by adding the governance tags for the data fields and should always inform governance teams in CDAO.
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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Knowledge with design of data integrations using Rest APIs, streaming technologies, ETL, ELT and other Data Integration patterns utilizing tools such as SSIS, Databricks and Azure Data Factory.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart NetworkTM. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and GenMobile.
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When you begin your job with us working on the front-end as a courtesy clerk, customer service associate, or cashier, you are taking a step towards an opportunity that can help you learn, grow, and even develop a long-lasting career!
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Develop new custom QuickBase applications to meet the various business needs, focusing on data capture applications with the understanding that the data will be governed and will need to eventually be consumed by a CBH reporting database layer and/or CBH Data Warehouse environment.
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Conduct advanced statistical analyses and predictive modeling to identify patterns, trends, and correlations in HR data related to employee engagement, retention, performance, diversity, and other key areas.
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Summary/Objective Responsible for turning data into information, information into insight and insight into business decisions, the Sr. Revenue Cycle Data Analyst will conduct full lifecycle analytical activities to include requirements analysis and design, development of data analysis, reporting, visualization enhancement utilizing business intelligence tools, continuous monitoring of performance and quality control plans to identify opportunities.
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Data Analysis: Dive into project survey data to assess existing site conditions, considering various factors, including legal descriptions, ALTA surveys, easement documents, and condo documents.
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Must have experience with voice/data cabling Lenel, S2, Genetec, and/or Axis certifications are a must. Performs computer program entry as required to add closed circuit television cameras, access control devices, and intrusion alarm systems as needed.
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Donor Stewardship:Create annual endowment statements using data provided by Finance. Prospect Research: Summarize philanthropic partner information, including history with the institution and publicly available information, to prepare the Vice President of Institutional Advancement Services, Major Gifts Officer, and Annual Fund staff members for meetings.
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The role includes Workforce Management and is further responsible for processing all time data changes within the operations of the HR Shared Services including resolving time data and workforce management issues in a timely fashion.
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Tetra Tech, Inc. is seeking an Entry-Level Engineer in the field of civil and environmental engineering to join our team currently serving both commercial and government clients primarily in the mid-Atlantic area.
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Experience using data visualization platforms (i.e. Looker, Tableau, Qlik) Work closely with MTA/MMM partner and data scientists to forecast, track performance and identify incremental spend opportunities.
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