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If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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1 year of work experience in marketing analytics in the context of digital marketing, business intelligence, data visualization (Tableau or PowerBI), customer journey mapping, full stack web programming, or web API consumption.
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3 years of experience with specific technology domain areas (e.g., software development, systems engineering, infrastructure, security, networking, data & analytics) The Business Intelligence (BI) Systems Administrator will play a critical role in ensuring the smooth operation and optimization of BI solutions within the organization.
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You are a highly skilled and experienced Business Intelligence Analyst with a focus on managing data analysis, retrieval and presentation at an enterprise level. Minimum of 4-5 years in business intelligence or data analysis roles.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Lead the configuration and maintenance of the OneStream platform, including workflows, data sources, transformation rules, business rules, calculations, dashboards, data management sequences, and cube/master data.
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Import field survey data and export survey data for field work utilizing Civil 3d Software and or Trimble Business Center. Civil Engineering - Land, Aerial, and Hydrographic Surveying.
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3 years of architectural design and implementation experience in a Data Warehousing & Business Analytics environment (e.g., Data Lakes, Data Marts, BI, including development and implementation, data analysis, and report writing.
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Your expertise lies in managing the technical aspects of BI systems, data integration, maintaining security, leading unit, system, and user acceptance testing efforts, and supporting end-users.
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Collaborate with cross-functional teams to integrate OneStream with other financial systems (such as Hyperion Financial Management (HFM. Intimately knowledgeable about the IT infrastructure and data architecture where solution reside.
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Collaborate with data engineers to design and maintain data pipelines, ETL processes, and data transformation workflows. Bachelor's degree in computer science, engineering, mathematics, or related field of study.
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big data software engineering business systems intelligence jobs Company: Texas Health Huguley Fws
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