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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Engagements vary from being purely consultative to requiring heavy hands-on work and cover a diverse array of domain areas, such as data migrations, data archival and disaster recovery, and big data analytics solutions requiring batch or streaming data pipelines, data lakes and data warehouses.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist 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 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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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Must have experience with Power BI, Qlik or another data visualization tool - either hands on experience or managing these types of projects as data visualization is a big focus for us.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Hands-on with ML data platforms (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI) As a Principal, you’ll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, MLOps components, and other big data related technologies.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Role: Big Data/Hadoop Developer/Engineer. Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few. Experience working with Hadoop/Big Data and Distributed Systems.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Hands on experience on Cloud Technologies like AWS, Databricks, Airflow etc. Hands on experience on Multiple ETL/BI tools Talend/SSIS/Abinitio/Informatica. Understand client technical problems, articulate, and detail the understanding and provide solutions related to AWS Cloud and Big Data Domains.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Possesses knowledge of the competitive landscape, products and markets related to Smart Manufacturing, Industry 4.0, cloud/edge, big data, artificial intelligence/machine learning and enterprise systems (e.g., ERP, MES, MOM, maintenance, PLM.
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3+ years of hands-on experience in GCP with expertise in components such as Dataflow, Big Query, Airflow, GCS. Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more business verticals.
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8 years of Leadership experience leading design teams and Developers working on ETL solutions on Big Data Platforms. 8 years of hands-on shell scripting experience on Linux / Unix / AIX in support of automating ETL solutions using Scheduling Tools.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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2-5 years hands-on industry experience in Data Engineering (or equivalent quantitative job title) Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.
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