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Capital One is seeking a subject matter expert to deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks.
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Automation-minded: Hands on experience of writing automated tests for backend applications and data flow, using tools such as Postman, REST Assured, Ready API etc. Support operationally critical environment, using monitoring tools and scripts, data feeds and associated scripts, research, and analysis of production issues, capturing logging.
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Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. You will also continue to contribute as a hands-on engineer.
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Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
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Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, architecture workshops, and best practices that showcase the functional capabilities, competitive advantages, and business benefits of MuleSoft’s solutions, from demo and proof of concept to design and implementation.
$256,060 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands on experience in CI/CD & Azure DevOps. Experience in working with monitoring, complex troubleshooting & debugging, supporting public cloud networks. Basic FunctionThe Global Business Services (GBS) Network Management team oversees and supports Wolters Kluwer’s Enterprise Network, spanning multiple public/private clouds, data centers, and offices in North America, Europe, and Asia Pacific.
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Hands on experience with Data Science tools and technologies on AWS with Python. Preferably 10+ years' experience having strong Data Analytical Skills with Hands-on Experience in Designing and Developing complex BI and Data Analytical Solutions.
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They are looking to bring in a Software engineer manager to be a hands on manager. They sell energy storage units as well as a software that tracks energy usage data. Software Engineer Manager/ Java/ Golang/ AWS.
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Hands-on experience collecting performance data, analyzing, troubleshooting, and tuning. Minimum 5+ years working knowledge and hands-on experience working with monitoring or observability tools including, but not limited to: Dynatrace, Splunk, AppDynamics, DataDog, Grafana, Prometheus, etc.
$169,800 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Hands on Data modelling tables, views. Specifically, this role will function as a hands-on engineer of a newly formed team to build the next generation commerce platforms for GPC. Working with a highly talented team, you'll play a key role to build and run one of the world’s largest automotive and industrial replacement parts operations.
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Is good to haveExcellent communication skills with the confidence to converse directly with client stakeholders is a mustAn ability to be self-sufficient and proactive while working in a broader team Required Skills: Must have 3+ years of relevant experience in developing data pipeline using core Python Strong hands-on expertise in core Python is a must Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career.
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As a Technology Data Engineer, you'll be instrumental in managing the flow, ingestion, and accessibility of data to support the growth of our brand. Oversee cloud-based data infrastructure (e.g., Azure, AWS) and primary database systems (MS SQL, Postgres, MySQL.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Hands-on production experience with orchestration systems such as Airflow.
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Hands-on experience with data modeling tools (e.g., ER/Studio, ERwin) and ETL tools (e.g., Informatica, Talend, Apache Spark). Proven experience as a Lead Data Engineer or similar role, with expertise in Data Modeling and Data Vault methodology.
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hands data jobs Title: engineer in Atlanta, GA
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