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3+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others. Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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System integration, automation, and cloud experience (e.g., Azure DevOps, GitHub, GitLab, Jenkins, etc.) Public cloud and cloud security fundamentals (e.g., AWS, Azure, GCP, cloud infrastructure security, container security.
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AWS Solution Engineer or AWS Cloud Engineer or Data Cloud Engineer Hybrid, 3 days a week onsite Design, develop and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Use software and computer systems' architectural principles to integrate enterprise computer applications such as Oracle Cloud HCM, AWS Application Integration, and Workday HCM Cloud.
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Knowledge and proven use of contemporary data mining, cloud computing, and data management tools: Microsoft Azure, AWS Cloud, Google Cloud, Hadoop, HDFS, MapR, and Spark. Active Google Cloud Data Engineer or Google Professional Cloud Architect Certification.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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SF Flow)Design, build, test, debug, and provide documentation for projects/programs associated with Salesforce Marketing Cloud and legacy Pardot. The Marketing Cloud Engineer will both be designing and developing system enhancements, roadmap execution, and day-to-day operations of our marketing technology.
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AWS Cloud Certification with experience as AWS Cloud Engineer. SAIC is seeking a Senior Cloud Computing Engineer to join the Cloud One Digital Engineering Team. This team is responsible for the architecture, engineering and sustainment of AF Cloud Digital Engineering platform currently deployed on AWS Cloud.
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8+ years of experience with large enterprise/cloud-level information technology, cyber security, and complianceExperience with Oracle Cloud Infrastructure (OCI), or related experience from AWS or Microsoft Azure, and developing cloud architectures.
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Develop software systems in an Agile development environment and on AWS cloud-based platform using Python, Spark, Scala, Databricks, NEO4J, and AWS. 3+ years of hands-on experience with AWS services like S3, EC2, ECS, IAM, CloudWatch, Lambda, and other AWS services.
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2-4 years of experience in AWS as a Cloud Security Architect/Engineer and must be certified in at least one of the cloud technologies/infrastructures. The Cloud Security Architect (CSA) will leverage broad technical knowledge of cloud security best practices of key public cloud offerings of providers such AWS, Azure, and GCP to establish secure design patterns, to architect integrations among cloud and/or on-premises infrastructures.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NET, SQL Server, Adobe Experience Platform, Salesforce Marketing Cloud Platform, Qlik, AWS, Tableau, Datorama, etc. · + years of experience in implementing solutions in platform such as service cloud/health cloud/marketing cloud/ , and MarTech platforms such as CDP/DMP/Marketing Automation Platform.
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test automation aws cloud jobs Title: quality engineer Company: Ping Identity
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