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Implement and build cloud services on top of the modern OCI infrastructure. At Oracle our exciting mission to build a premier health data platform with intelligent services, brings about several interesting technical challenges.
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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) Working knowledge with modern cloud-based data storage and compute environments.
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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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Our cross-industry solutions are powered by modern technology, market intelligence, and big data to drive purposeful change and actionable outcomes. We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques.
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You will join the Workflow Management Developer Experience team in Big Data scope to support Migration from Hadoop / Oozie (Spark, Perl, etc) legacy setup to a modern platform (AWS / S3 / Snowflake / Airflow / Spark / DBT.
$165,400 - $181,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in writing strong SQL in data warehouse technologies (Snowflake or any modern database) Strong understanding of Data Warehousing concepts for big data applications and services, preferably using Snowflake.
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The Senior Manager of Data Operations Digital is a member of the Strategy, Business Intelligence, and Data Operations (SBID) organization and an integral part of Marriott’s Customer group.
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4+ years of experience developing data pipelines using modern Big Data ETL technologies like NiFi or StreamSets. 4 years of experience working in a big data and cloud environment.
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Significant experience using Python, including use of modern data science and machine learning packages and frameworks (Java, c. Experience building and optimizing data pipelines, including big data tools with Spark, Kafka.
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Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data. Prior experience with debugging and problem solving in Big data ecosystem.
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Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling. Experience with modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow.
$130,100 - $188,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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4 years of experience working in a big data and cloud environment What we'd like you to have. Overview BigBear.ai is seeking a Senior Data Engineer to support a program in the Washington DC metro area.
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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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Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark. You will work on vast amounts of Drug Enforcement Agency (DEA) data to discover hidden information by applying modern statistical and ML/AI techniques.
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modern big data jobs Title: data in Mclean, VA
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