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Advanced in modern technologies such as: Java version 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer & Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm.
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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.
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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Proven experience in building data pipelines and database applications Strong coding and scripting experience with Python, PowerShell or similar languages.
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Investigate & solve problems relating to software enabled business function modernization, hosting services such as infrastructure, enterprise managed services, Robotic Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), data support to the tactical edge, and optimizations of commercial cloud hosted systems.
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Microsoft Office Suites; SharePoint; Nessus, AWS Tools, Xacta, ServiceNow, Archer, Microsoft Hyper-V, VMWare vSphere, Citrix XenDesktop/Server, Amazon Elastic Compute Cloud, etc. Bachelor degree or higher from an accredited college or university (Recommend an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems, or Computer Engineering degree; or a degree in a Mathematics or Engineering field.
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C#, devops, java, matlab, perl, php, software developer, software development engineer. 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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Cloud Infrastructure and Data Integration : Lead the implementation of data solutions on cloud platforms such as Azure, AWS, and Snowflake, integrating diverse data sources into unified systems.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks.
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Cloud Consultant – Cloud Architect – GCP – Google Cloud – Azure – AWS – Amazon Web Services – Cloud Strategy – Azure Certified – Azure Architect – AWS Architect – AWS Consultant – Public Cloud – Containers – Containerization – DevOps - Automation - Application Architect.
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Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing. Databricks Certified Associate Developer for Apache Spark Preferred.
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Working for one of the London's leading Hedge Funds / Financial Institutions and working across Terraform, Docker, Azure and Kubernetes you will be able leave behind the daily grind of having to get out features and instead enjoy the creative freedom that comes with having a focus on implementing your own ideas for developer productivity engineering.
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C#, developer, devops, matlab, perl, programming, sde, software programmer, sw. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Lead Software Engineer, Backend (Java, AWS.
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AWS Certifications are highly desirable - AWS Certified Cloud Practitioner | AWS Certified Solutions Architect – Expert / Associate etc. Knowledge of other Cloud Platforms and SaaS offerings such as Azure, GCP, Snowflake & Databricks.
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Our client, a prominent professional services firm, is seeking a skilled AWS Cloud Engineer with active DV clearance to join their dynamic team. Job Title: AWS Cloud Engineer (DV Cleared.
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We are seeking a talented and motivated AWS Cloud Data Engineer to join our growing engineering team. Utilize cloud platforms (primarily AWS) to deploy data solutions that leverage native services such as S3, Lambda, Redshift, Glue, Airflow, or equivalent third party SAAS services like Snowflake etc for data lake/data warehousing patterns.
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software engineering aws cloud developer jobs Title: software Company: Capital One
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