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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. You must be passionate about data engineering, possess a solid background in Azure and Databricks, and thrive in a collaborative and innovative environment.
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Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for addressable Ad Platforms.
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The successful candidate will teach introductory and upper-level courses in Data Science such as Data Curation, Data Modeling, Data Management, Data Mining, Big Data, Data Analysis, Machine Learning, Data Visualization, Computational Thinking for Problem Solving, Information and Data Security and Privacy, Information and Data Quality, Information Retrieval, and Data Science courses in the candidate's area of expertise.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. Accurate and timely market data is critical to protecting our "Save Money, Live Better" promise, operating at low cost, and helping customers make purchase decisions.
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Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP/AWS Big data services, Databricks, and other tools & technologies.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Big Data Expertise: 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Experience with DBT, Airflow or similar analytics workflow tools is a big plus. Experience using data science tools like scikit-learn, pandas, numpy, XGBoost, TensorFlow. Coalition is looking for a data scientist to join our rapidly growing data science team to solve underwriting challenges.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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Skills: Google Cloud, Python, Java, Big Query, Data Flow, Tableau, Looker Advanced SQL, pipeline build, automation. Experience in designing and executing solutions for complex business problems involving large scale big data warehousing, real-time analytics, and reporting solutions.
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big data jobs Title: data manager Company: World Wide Technology
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