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Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice.
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Experience in Extract-Transform-Load (ETL) developmentKnowledge of ETL concepts, tools, and data structuresExperience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc.
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Preferred Skills: Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients.
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Certification in cloud platforms (e.g., Azure DevOps Engineer Expert, AWS Certified DevOps Engineer). Strong knowledge of CI/CD tools (e.g., Azure DevOps, GitLab CI, Circle CI, Jenkins.
$143,706 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Multiple certifications including advanced engineering certifications in the following areas: SnowPro Core/Advanced Certification (Data Engineer), DB2 Fundamentals LUW, Microsoft Certified: Azure Data Engineer Associate, Collibra Ranger Certification (Data Governance), Ab Initio - Certified Data Integration Developer, Certified Data Warehouse Developer, Databricks Certified Associate Developer for Apache Spark/Cloudera Spark and Hadoop Developer Certification, dbt Fundamentals.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure. Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, multimedia (audio, image, video, document), tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types.
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure. Experience with Big Data processing and feature engineering using Spark.
$264,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with geo-spatial software and programming packages and data formats. The Customer applies technical resources to accelerate the timely, reliable, and secure delivery of open source data, information, and insights.
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Provide Data Engineering support to include cleaning, modeling, and formatting data of unknown formats. Move data between different cloud storage environments for critical requests.
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Experience with distributed data platforms and technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data services (e.g., AWS, Azure, GCP) Candidates have bachelors degree in Engineering or Computer Science with 14 years of experience in data engineering or a related role.
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As a CO+I SDCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform.
$32.4 - $54.76 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Maintain a deep understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud). The Leidos Digital Modernization Sector is seeking an experienced Sales Engineer to provide hands on technical expertise with repeatable offerings (RO’s) within the Cloud and Data Center Practice Area at our Leidos Headquarters in Reston, VA.
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azure job Title: data in Sterling, VA
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