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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer.
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5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer, Bank Tech.
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5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) 4+ years of experience with AWS, GCP, Azure, or another cloud service. Experience in Azure Network (Subscription, Security zoning, etc.
$150Full-timeExpandApply NowActive JobUpdated Today - 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.
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Proficiency in modern on prem object storage technologies (CEPH, MinIO) and its cloud equivalents (AWS S3, Azure Blob Storage, Google Cloud Storage) As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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SPLUNK, tools (CORE, SOAR, ES, UBA), SIEM, Azure Cloud, AWS cloud, Kubernetes, Docker, Rancher, Linux, or windows command line experience. Experience in DevSecOps, Cloud Security (AWS/Azure.
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Databases Experience working on a cloud platform like GCP, AWS, or Azure Experience working collaboratively with git DESIRED SKILLS & EXPERIENCE Understanding of Docker/Kubernetes Understanding of or interest in knowledge graphs Experienced in supporting and working with internal teams and customers in a dynamic environment Passionate about open source development and innovative technology The target base salary for this position is $185000-200000 USD plus bonus.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. We are seeking a highly skilled and motivated Data Engineer to join our dynamic team to contribute technical expertise in transforming raw data into meaningful insights, fostering data-driven decision-making within an innovative and collaborative environment.
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5 years' experience as a Data Engineer or in a similar role. Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, orSnowflake. Stay informed about emerging trends and technologies in data engineering and integrate bestpractices into our data infrastructure.
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Cloud certification (GCP, Azure, AWS) + Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.
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Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Proven experience as a data engineer in a similar role, with a strong background in data management, data processing, and distributed systems.
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Understanding of public cloud technologies such as AWS, GCP and Azure is a plus. As a Data Operations Engineer you will be responsible for monitoring and managing maintenance of multiple data ETL pipelines, which power hundreds to thousands of business-critical applications and reports, used by many teams throughout the organization, as well as external customers, every day.
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azure aws jobs Title: data engineer in Washington, DC
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