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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent.
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Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
Full-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency's (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML), and cross-domain transfer systems to provide cutting-edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake) Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Computing: Proficient in cloud platforms like AWS, Azure, Databricks, and GCP. Agile Work Environment: Ability to work effectively within an agile team setting. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role is part of the team focused on building out our next generation cloud-based data and api platform. 2+ years working with tools such as Atlassian (JIRA/Confluence), Clarity and/or Cloud-based platforms (Amazon Web Services, Microsoft Azure or Google Cloud.
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Significant experience with industry-standard platforms and tooling including AWS, Azure, Data Cloud, relational and non-relational solutions, Databricks, Snowflake, Qlik, Tableau, etc. 15 years of prior experience in leading and scaling a data engineering organization, and overall data and analytics functions (e.g. data planning, data governance, data management, data visualization, machine learning, AI, etc.
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Expertiseas a lead on creating,defining and driving the data engineering solutionsfor operationsStrongunderstanding of cloud platforms (AWS, GCP, Azure). Experiencewith data pipelines and ETL/ELT processes – Boomi Experience is a plusExperiencewith managing data workflows at scale – Apache Airflow is a plusExcellentproblem-solving and analytical skills.
$135,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated ability to interact effectively with CIA Commercial Cloud Enterprise (C2E) or NSA GOVCLOUD or other major cloud providers. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) - we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions.
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cloud job Title: data in Chevy Chase, MD
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