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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc.
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Must have hands on Snowflake, AWS and Airflow. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Certifications in public cloud (level of architect, security engineer/specialist) or Security Certifications in CISSP, CISM, CCSP or CCSK, CEH, CISA, Azure Security Engineer, Azure Solution Architect Expert, AWS Solution Architect Associate/Professional.
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As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.
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Hands-on experience with guiding the virtual data model definition, defining Data Virtualization architecture and deployment with focus on Azure, Databricks, PySpark technologies.
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Experience with relational and non-relational data stores (Hadoop, SQL, Mongo DB), ETL or ELT tools (SSIS, Informatica, Matillion, DBT), DevOps, Data Lake and Data Fabric concepts.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
$160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. Designs and builds data processing pipeline using cutting-edge AWS services, 3rd party open-source/commercial software, and internally developed software to ingest, process, and deliver data at scale.
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Formal training or certification on software engineering concepts and 10+ years applied experience. Drive, support, and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, AWS DynamoDB, CloudWatch, EKS, ECS, MFTS, ALB, NLB.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Software Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Software Engineering.
$234,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Bachelors degree with a MINIMUM of SEVEN (7) years of relevant experience in software engineering and architecture in the consulting industry, preferably Federal industry.
$216,600 a yearExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Y ou will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
$229,925 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
$58 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Be an advocate for engineering standard methodologies, engineering metrics, and overall help set the standard on technical excellence. Anywhere Automation Engineering team develops reusable tools and capabilities which internal product development teams use to self-service and accelerate software releases.
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hands on software engineer devops data engineering aws jobs Company: Capital One in Enfield, Connecticut
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