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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
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O Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Find your place in technology on #TeamAmex The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.Knowledge and skills (general and technical) Required:Experience in planning, executing, and reporting on testing reviews and regulatory issue validation activities.
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Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering. As a Senior Product Associate in Markets Data Lake, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings.
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Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks. We are currently looking for a Senior Data Scientist to drive our data science and analytics group forward.
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Alluxio moves data closer to big data and machine learning compute frameworks in any cloud across clusters, regions, clouds, and countries, providing memory-speed data access to files and objects.
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This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Clients addressable Ad Platforms.
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You will join a close-knit group of designers and work closely with Research, Product Managers, Data Science, Business Intelligence, and Engineering to craft innovative experiences combined with best-in-class practices in this space.
$101,000 - $154,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years of demonstrated experience and deep understanding in data architecture, data analysis, reporting, and basic understanding of data science techniques and implementation of large, scalable, and highly complex big data warehouse and data lake projects using cloud-native and open-source platforms and technologies is required.
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The Senior Associate will facilitate proactive decision making through forecasting models and drive value with data and analytics during times of transaction and transition. Consulting/Advisory (preferably Big 4 or Big 3) with a focus on finance effectiveness, strategy and operations, analytics, performance improvement or technology.
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Experience with Hive, Spark SQL, Impala or other big-data query toolsExperience with ThoughtSpotAWS, Databricks, Snowflake, or other Cloud Data Warehouse experienceHyperion Essbase cube design and administration experienceExperience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilitiesProficient user of the Microsoft Office Suite (primarily Excel)Required soft skills.
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As a Data Scientist at Capital One, you'll be part of a team that's 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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big data jobs Title: senior in New York, NY
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