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As a Quantitative Analyst 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 cloud 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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The Professional Practice Excellence RN Case Reviewer supports the Professional Practice Committee (PPC) through the management of data and information needed by the Committee for the performance of Ongoing Professional Practice Evaluation (OPPE) and Focused Professional Practice Evaluation (FPPE) in accordance with approved policies and the PPC Charter.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Job ID: OCTO Big Data Architect IT Consultant Maste - 746534. 5 Years of experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
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Resolve highly complex technical issues on Oracle Cloud, Postgres, and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery.
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We are looking for Big Data Architect IT Consultant Master professionals for an upcoming long-term project with the Office of the Chief Technology Officer. Seeking an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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We are looking for a Big Data Architect IT Consultant Master (Min 5+ Yrs. Exp) ONSITE ( Webcam Interview ). Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience managing vulnerabilities in both on-premises systems and in cloud environments (e.g., Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers). Experience analyzing data and identifying vulnerabilities, extending beyond running a scan to analyzing systems, network configurations, web applications, and architectural diagrams, as well as identifying top vulnerabilities such as those listed in the OWASP "Top Ten" and understanding how those vulnerabilities work at the programmatic level.
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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ITS is excited to host one (1) summer undergraduate or graduate intern to work in an agile team of software developers, UX designers, and data scientists in support of the Division’s big data and cloud infrastructure work and to provide support to any other special development projects or initiatives that might occur during this time.
$33.65 an hourInternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. As a data engineering team that supports the central finance team within Amazon, our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona). Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Engineering experience in big data environments, including data lakes, Azure Synapse, Databricks, Redshift, Snowflake. Build data engineering solutions in a Databricks/Azure data ecosystem that includes an enterprise data lake, data warehouse, and streaming analytics.
$46 an hourInternExpandApply NowActive JobUpdated 21 days ago
big data jobs Title: hadoop Company: At T in Mclean, VA
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