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Develops advanced analyses and reports for client matters using analytical tools such as MS Excel, MS Access, SQL, Power BI, Qlik and other big data analytical tools. Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with offices in strategic hubs of commerce, law, and government across North America, Asia, Europe, and the Middle East, is seeking to hire a Practice Group Data Analyst to assist across practice groups with the development of business analyses utilizing technical platforms that allow case teams to gain an accurate, detailed, and nuanced understanding of data relevant to client matters and our clients' businesses.
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A strong DevOps, Data Engineering background with working knowledge of data processing, CI/CD, and analytics tools on AWS platform. Assists the management team on executing project road maps, priorities, and driving the adoption of a Data DevOps culture.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Join our world-class team of empathetic, enthusiastic, and creative people who can work on some of the toughest big data problems.
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You will focus on building and executing strategies behind growing On Premise Share and accelerating POD distribution within our Offensive and Defensive Megabrands (Bud Light, ULTRA, Stella Artois, Kona Big Wave, NUTRL, Cutwater, Budweiser and regional big bets behind the IPA & Wheat categories.
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Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc. & data visualization software (Power BI, Adobe Analytics, Excel, etc.
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5+ years experience as a logistics analyst, operations researcher, data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
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Senior Software Engineer II - Data , you design, implement, and maintain software systems that accomplish a given goal. Senior Software Engineer II - Data. Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc.
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Senior Java/Big Data Developer – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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Create ETL from a variety of data sources using SQL and big data technologies. Create scalable big data solutions. 7+ Experience working on Big Data. We are looking for a Senior Data Engineer to join our Philadelphia-based WiFi Engineer team.
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As challengers at heart, our secret weapon is our talented team of big thinkers, data-driven drivers of growth and innovation. Experience performing analysis with large time series datasets, i.e. Amazon AWS, Snowflake, or Google Big Query.
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The HR Analyst is a vital member of our Human Resources team, responsible for leveraging HR data to support decision-making, improve HR operations, and enhance overall organizational effectiveness.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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The faculty in the department conduct research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, quantum computing, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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big data jobs Title: devops engineer Company: Intuit
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