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Strong experience in design, implementation, and deployment of Microservices using Java Spring Boot, backed by hands-on experience with Docker and Kubernetes (Amazon EKS experience is a bonus.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Department of Psychiatry and Biobehavioral Sciences General Faculty Search: Health Sciences Clinical Professor Series University of California Los Angeles Requisition Number: JPF08963 The Department of Psychiatry and Biobehavioral Sciences in UCLA's David Geffen School of Medicine (DGSOM) is seeking faculty to work as a part of a team emphasizing high quality, patient-centered psychiatric in-patient and/or outpatient care.
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Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
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Prior experience in building data visualizations and familiarity with products like Tableau or google data studio or looker. 3-5+ years of experience working as a data analyst/data scientist.
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Code management experience including Git and CI/CD.Experience with Java and Rust are a nice to have. Take ownership and leverage your software development and data engineering skills to plan, develop, and ship successful features and products.
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Experience in java programming languages Python, Flask, Django, Java 8, Spring, Spring boot. Focus on : Experience in app modernization using Java. Spring boot, Angular/react, Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics AWS Redshift, Glue, AWS EMR, AWS Kinesis, Step functions.
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Experience with data visualization platforms: Google Data Studio, Domo, Tableau, Power BI is preferred. The Digital Marketing Strategist is responsible for driving performance of paid media campaigns, with a specialized focused on search engine marketing for AEG Presents produced events.
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Expert experience with data visualization tools like DOMO , Tableau, preferred. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on THE TEAM We are excited about music, live entertainment, marketing, data, and technology.
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U.S. Data Security ("USDS") is a subsidary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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While traditional aspects of data governance and some experience in Master Data Management (MDM) remain vital, the primary emphasis will be on the modern elements of data governance such as data quality, data observability, data lineage, data catalog, and business glossary.
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Knowledge of the Python/Scala/Java data ecosystem. Experience deploying and running services in AWS, and engineering big-data solutions using technologies like Databricks, EMR, S3, Spark.
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Advanced experience in Jira, Confluence, Excel, Alteryx, Data Dog, and Postman preferred. Creates data mappings and document specifications to support integrations with internal and external systems like Thomson Reuters, Edicom, Manhattan Active Omni (MAO), Boomi, ERPs, Oracle Cloud Financials, etc.
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As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics.
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Data Guru: Masterfully wield data ingestion technologies, cloud services (BigQuery, AI Platform, etc.) Team Player: Seamlessly integrate within cross-functional teams, leveraging expertise from Cloud engineering, software engineering, and data engineering.
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