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Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker.
$140,290 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tagged as: Big Data Engineer. Title: Big Data Engineer. 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop.
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We pull data from an ecosystem of sources, and we run on any cloud. We embrace unstructured data and know how to solve large-scale problems. Cloud Pak for Integration – Automate application data flows to connect systems for better client experiences.
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The Release Train Engineer will lead Agile/JIRA adoption for a portfolio of tests focused on data testing (testing that evaluates enterprise data across the Bank’s data lifecycle, including capture, transport, and use, and provides critical insights into data accuracy, completeness and fitness for purpose, as well as the data health of bank data domains and in-scope processes and controls.
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Experience in governance with modern environments, Big Data and traditional DW environments supporting Data Governance and master data management principles and techniques.
$208,580 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure(big plus), AWS, OpenStack, etc. Minimum of 4+ years experience with databases and data modeling / design (SQL and NoSQL) And.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This platform will support data processing, analytics, and reporting, and will be hosted on either Snowflake or Fabric (depending on the client’s final decision). Collaborate closely with data engineers, data operations, and business intelligence (BI) teams to create and manage storage accounts.
$80 an hourExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
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Analyze economic forecast data and explain its relevance to changes in loss forecasts. Exercise/establish appropriate controls ensuring data and calculation accuracy. Assist in the documentation, production, and analysis of Current Expected Credit Losses (CECL), Credit Loss Forecasting, and Stress Testing material covering both the consumer and commercial lending portfolios.
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1+ years of working with big data (Big Query) Experience with data processing technology (Apache Spark etc.) Experience with data virtualization technology (Tibco DV, Dremio, etc.
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Proven experience in Master Data Management and Data Governance role, specific to Order to Cash processes and MDM scenarios. Collaborate to align master data management and data governance standards, processes, and rollout with the Global ERP rollout.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong functional and technical knowledge of information/cyber security capabilities with deep expertise in one or more of the following areas: Encryption, Data Security, Application Security, End Point Security, Identity and Access Management, Windows/Unix/Linux Systems Security, Mainframe Security, Perimeter Security, Network Security, Mobility Security, Cloud Security, Cyber Security, Cryptography, or Authentication Systems.
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Client uses NextGen as their backend process which uses Mirth Connect for all the interfaces from the data sources to them. This position will be responsible for the maintenance of the current interfaces, building new interfaces, testing the interfaces, and validating that the data received is what is being ingested into the NextGen/Mirth Clinical Data Repository (Mirth Results.
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3+ years of experience in one or combination of the following functional areas: unified management accounts (UMA), Separately Managed Accounts (SMA), investment planning; system due diligence; investment analytics; performance reporting; equity management; fixed income management; alternative asset management; risk management and compliance; trading; data integration/analytics, business analysis.
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big data jobs Title: data applied in Charlotte, NC
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