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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, or a related field.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Routinely verify all underlying data for accuracy and consistencyProficient in using our Tech Stack - SQL, Tableau, Big Query/GCP, PostgreSQL, SalesforceQUALIFICATIONS: Bachelor's degree or equivalent practical experience; Master's degree in computer science/information technology a plusMinimum 3 years of relevant experience in data analytics at a consulting firm, non-profit, or high-growth startup.
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Curious and always learningExceptional storytellerA Big Plus If You Also Have:Experience working with Product, Data Science, and Performance marketing teams. Tech and data-savvy with the ability to jump into Web Analytics platforms such as Google Analytics or Data Visualization Platforms (such as Power BI, Data Studio, Tableau, etc) or even Excel and communicate a story with sound data.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Job DescriptionJob DescriptionDepartment Overview: Commonpoint Queens Resettlement & Integration Department consists of initial resettlement, social integration and employment services programs serving refugee and other humanitarian migrant populations.
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Data Maestro Director: Direct the development of complex data models to accurately mirror critical business processes, ensuring seamless integration with our comprehensive data architecture, including Big Data frameworks like Spark.
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Job DescriptionJob DescriptionWe'd love to hear from you if you like:Making a big impact with a Forbes Top Startup EmployerWorking at a startup that has traction ($240M in funding | 40X revenue growth in 4 years)Mentorship from serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, Wayfair, SoFi, GEICO, Microsoft, etc.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Data/communication systems, networks (COE/ATM/SONET/PSLAN), CCTV, public address systems, electronic customer information signs, fire alarm systems, intrusion access control security systems, time clocks/synchronization, emergency alarm systems, analog/VoIP telephone systems, PBX, intercom systems, protected power, remote monitoring systems, system designs, system testing, DOS facility network designs, and various other legacy systems unique to NYCT.
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Qualifications and Requirements:Minimum masters with 3 to 5 years of work experience in public health policy, health data governance, health library science, epidemiology, health information technology or information management Knowledge and training in laws and regulations concerning health privacy, confidentiality, and data security standards.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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4+ years of experience deploying and supporting Continuous Integration and Continuous Deployment (Jenkins, GitLab, Spinnaker) At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. Key Responsibilities:Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis.
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From Google and UNICEF to AARP and Big Brothers Big Sisters of America, we transform how brands and causes raise money, influence policy, build platforms, and grow communities of supporters.
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big data integration jobs Title: big engineer in New York, NY
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