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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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API: Required: Python, Django or Flask, Database experience using MongoDB or MariaDB, ReST endpoint development, Micro service model Desired: Swagger, AWS, C2S or other cloud experience, Docker, Visual Studio Code or similar IDEs, JSON and/or XML serialization, Jira, Confluence, Git version control, Experience working in Agile environment.
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Involvement in building Infrastructure as Code (IAC)Willingness and the ability to pick up and learn new coding languagesDeep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure and Google GCP.
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Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python. Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python.
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2+ years of Python API development using frameworks like Flask/Django/Django Rest Framework. 2+ year developing in AWS cloud native or server less approach (ECS, Lambda, IAM, API Gateway, CloudFormation, Code Deploy, Parameter Store, Serets Manager, CloudWatch, S3.
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The Database Engineer will support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). ResponsibilitiesThe Cloud Solution Architect - Data & AI will be responsible for the following:Customer CentricityGathers customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and maps architecture and digital transformation solutions to customer/partner business outcomes.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Responsibilities include the architectural design, implementation, and deployment of enterprise-level omnichannel CRM and loyalty marketing initiatives using platforms including Salesforce Marketing Cloud, Marigold (formerly Cheetah Loyalty and Cheetah Messaging), Punchh, Braze, and SendGrid, among others.
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Experience hosting cloud-based and hybrid cloud/on-premises network solutions (e.g., AWS, MS Azure, Google Cloud platform, IBM cloud). Experience designing and developing cloud-native scalability and distributed applications that leverage micro-service architecture.
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Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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Hands-on experience with Docker, Git, NGINX, RDS, Elastic Beanstalk, Kubernetes, and cloud-based databases like PostgreSQL and MongoDB.Knowledge of Identity Provider (IDP) and Identity Access Management (IAM) technologies.
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Currently, ManTech is seeking a motivated, career and customer-oriented Deputy Chief Engineer III to join our team in Glen Burnie, MD. The Deputy Chief Engineer III tailors the requirements of each Technical Direction Plan (TDP) to match the complexity of the project requirements, to include skill-mix estimates, labor hours, and labor resource allocations to perform SE and architecture following an MBSE method.
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Proficiency with Google Suite (Sheets, Slides, Docs, Forms) and Looker. Comfortable with tech platforms - e.g. Google for Business tools (Gmail, Calendar, Docs, and Sheets) and Slack. Record observations, coaching, and outcomes in Google Docs, ensuring accurate and up-to-date documentation.
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The ideal candidate is a Baltimore resident with 15+ years of experience with data conversion, with prior experience with CGI to Oracle Cloud migrations, SQL, and ETL. Bonus points for experience with the HR and Payroll functionalities of CGI.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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