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Assist County and other governmental agencies with mutual aid on incidents involving wildland fire suppression, emergency medical response, search and rescue, wildlife management, and other natural or man-made disasters.
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Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using Dataproc, composer services on GCP or other Cloud Platforms. Builds highly scalable and extensible data marts and data models to support Data Science and other internal customers on Cloud.
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Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
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Our passionate engineers work on a wide range of technologies - from cloud computing and big data analytics to self-service toolkits, building compelling visualizations using web components, developing automated statistical techniques to discover information in unstructured data sources, writing automation bots and much more.
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Storage: Understanding of cloud storage options and how to migrate data from on-premises storage systems to cloud storage solutions. IT Project Management: Plan and oversee the multiple high-value projects focused primarily on the cloud migrating of legacy Client business systems from On-Premises (“On-Prem”) to Cloud infrastructure.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, Management, Data Scientists, Engineers, etc.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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Finally, this position will participate in the development and publishing of bioinformatics workflows that are used to harmonize data published on St. Jude Cloud. St. Jude is seeking a bioinformatics scientist to lead and participate in the development of multiple scientific products and initiatives on the St. Jude Cloud project.
$86,320 - $154,960 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Development 1+ years of Experience with AWS/GCP Cloud or equivalent on data integration with Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, Kubernetes, or BigQuery ecosystems.
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3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learningStrong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packagesDemonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
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Serverless Architectures and Containers (Docker, Kubernetes), Server development (NodeJS, IIS), storage and search (Cosmos DB, AWS Dynamo DB, GCP Cloud SQL, Azure Search, Elastic Search, Data Warehouse.
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