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Demonstrated expertise in systems engineering (SE), including modern software development processes and practices, including agile development methods (e.g., DevSecOps), hands-on experience with software architecture, design, test, and implementation with an emphasis on domain-driven, big data architectures.
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Providing information to the BIG Business Intelligence team to ensure materials produced are compelling in terms of data and messaging and that projects follow the appropriate process and timeline (financial incentive proposals, board reports, grant-related documents, marketing materials, newsletters, etc.
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The Implementation Coordinator advances the mission by building custom surveys using various data points to maximize impact and empower field staff in their grassroots engagement and community management.
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Familiarity with big data frameworks like Hadoop, Spark, or Kafka for processing and analyzing large volumes of data. Experience with AWS data services including S3, Glue, Redshift, and Athena.
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Strong understanding of Data Warehousing concepts for big data applications and services, preferably using Snowflake. · Experience in using Data migration using cloud-native tools like AWS DMS or Azure DMS.
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Data Engineer with good knowledge of Snowflake cloud platform, architecture. Experience in writing strong SQL in data warehouse technologies (Snowflake or any modern database) Build complex data models to perform business analysis using SQL Queries on Snowflake.
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Background in big data, Cloud, or SaaS sales is preferable. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Cloud Data Warehouse (Snowflake - preferred, Big Query/Redshift & traditional data warehouses considered) We are looking for a driven individual with a product mindset, strong consulting skills, a SQL programming background to manage data products in Snowflake for enabling reporting and analytics robust data pipelines, and experience with cloud computing & modern data warehousing environments.
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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
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Experience with other big data technologies such as Hadoop, Kafka, or Flink. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty). Extensive experience with Apache Spark and Scala for large-scale data processing.
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Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. Our technical competencies include Big Data analytics, Cloud Computing infrastructure, Machine Learning, Multi-INT visualization, and enterprise architectures.
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Big data” doesn’t faze you. 11 West 19th Street (22008), United States of America, New York, New York Manager, Data Science - Fraud, Deep Learning Manager , Data Scientist, Fraud Data is at the center of everything we do.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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big data jobs in Silver Spring, MD
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