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Proficient in big data technologies such as Hadoop ecosystem (HDFS, Hive, HBase), Apache Kafka, and Apache Flink. Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake.
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Fünfjährigen Erfahrung blickst du auf einen reichen Erfahrungsschatz und ein tiefes Verständnis im Bereich (Cloud) Datenplattformen und des Big Data Ökosystems (Kafka, Spark, Databricks, Delta Lake, Iceberg, etc.
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TBI ID Number: 23-12055, Business Intelligence Engineer/BI Engineer/ETL Developer/BI Developer/Data Engineer. Business Intelligence Engineer/BI Engineer/ETL Developer/BI Developer/Data Engineer.
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This job will include working and gaining expertise in the following areas: IP Protocol (HTTP/HTTPS), VMware, Cloud Computing, Big Data, Linux OS, PostgreSQL Database, Digital Reef Proprietary Software and Grid Technology.
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With over 20 billion rows of license plate and geospatial data, Digital Recognition Network ( a subsidiary of Motorola Solutions, is a fast-growing License Plate Recognition (LPR) data company that is looking for a talented software engineer to help build and maintain web applications that showcase our data and provide value for our commercial customers.
Full-timeRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Our Cybersecurity and Technology Risk Advisory services include Cyber strategy, IT governance, IT risk and cybersecurity assessment, cloud security, privacy and data protection, systems pre- and post-implementation controls evaluation and advisory, systems development life cycle controls assessment, data governance & analytics, resilience, and third-party risk management.
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Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics. Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query.
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Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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The Big Bear Mountain Ski Resort is about an hour away from Loma Linda. The beaches of Newport, Laguna, and Malibu are only 60-90 minutes to the West, offering superb swimming, sunbathing, surfing, and sailing opportunities.
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Under the guidance of the Community Data Manager, the Community Restorative Justice Hubs’ Coordinator, and the Executive Director of the Institute on Public Safety and Social Justice, the Data Specialist will provide data monitoring and analysis support for a network of community-based violence prevention organizations.
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If you are passionate to work with the most valuable asset of an organization – “Data” and “Metadata” - consider applying to the Developer Sr opportunity to join our IT Data Solutions team.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
big data jobs Title: developer Company: Cognizant
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