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Microsoft Azure Administrator Associate or AWS Solution Architect Associate Certification. Azure Fundamentals or AWS Cloud Practitioner Certification. Microsoft Azure Solutions Architect Expert or AWS Solution Architect Professional Certification.
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1 or more professional cloud certifications: AWS Cloud Practitioner, AWS Solution Architect - Associate, AWS Developer - Associate, AWS Security - Specialty, or AWS Solution Architect - Professional.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes.
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Certifications in Snowflake and relevant cloud platforms (e.g., SnowPro Certification, AWS Certified Solutions Architect) are a plus. The ideal candidate will have extensive expertise in setting up and optimizing DAAS solutions using a variety of tools and platforms, including MySQL, PostgreSQL, SQL Server, and Snowflake on AWS and Azure.
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Roles and Responsibilities: Design and implement data architectures for DAAS solutions, with a primary focus on Snowflake as the central data platform, while also leveraging MySQL, PostgreSQL, SQL Server, and other technologies on AWS and Azure platforms.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. (Google Cloud Platform, AWS, Azure); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Athena. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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We are looking for a strong Data Engineer cum Architect, to create new modern data ingestion pipelines using latest technologies like AWS Athena, Lambdas, Python, Spark. Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
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In-depth knowledge of new and established technologies and programming languages such as Typescript, Node, Vue.js, AWS SDKs. Experience with web development architecture patterns such as Jamstack.
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Must have Skills: Cloud architecture (Strong), Cloud development (Strong), Python (Strong), Snowflake, AWS Lambda. End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.
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Current information security certification, including Certified Information Security Manager (CISM), or Certified Information Systems Security Professional (CISSP), AWS Professional Architect, AWS Security Specialty.
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AWS DevOps Engineer, AWS DevOps Engineer. - CI/CD Pipeline: Knowledge of concepts, values and tools applied in building Continuous Integration(CI), Continuous Delivery and Continuous Deployment(CD) pipeline; ability to design, build, implement and maintain CI/CD pipelines to achieve the automation of software delivery process both on-prem and in AWS Cloud environments.
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In-depth knowledge of new and established technologies and programming languages such as Typescript, Node, Vue.js, AWS SDKs. Hands-on knowledge of AWS cloud infrastructure and services.
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Infrastructure as Code Tools : Ansible, Terraform, Chef, Puppet, AWS CloudFormation, Azure Resource Manager. Cloud platform certifications: Cloud Solution Architect with AWS, Azure or GCP.
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Embraces Diverse people, thinking and styles Consistently makes safety and security, of self and others, the priority Position is located in Atlanta, Georgia or Minneapolis, Minnesota Preferred Knowledge and experience with the Travel Industry Infrastructure automation using docker and tools like Chef, Puppet, Terraform Experience of working with various AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CloudFormation, etc.
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