601 to 625 of 988 Permanent Amazon S3 Jobs

scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy. Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics. Collaborates with data domain teams to design and deploy domain More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Python Implementation: Utilize Python, Pyspark for processing large datasets and integrating with cloud-based data solutions. More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Python Implementation: Utilize Python, Pyspark for processing large datasets and integrating with cloud-based data solutions. More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Python Implementation: Utilize Python, Pyspark for processing large datasets and integrating with cloud-based data solutions. More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Team Leadership: Mentor a team of 3 engineers, fostering best practices in software development and code More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Team Leadership: Mentor a team of 3 engineers, fostering best practices in software development and code More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Team Leadership: Mentor a team of 3 engineers, fostering best practices in software development and code More ❯

code is optimized, scalable, and maintainable. Azure Expertise: Leverage Azure services extensively, particularly Azure Storage, for scalable cloud solutions. Ensure seamless integration with AWS S3 and implement secure data encryption/decryption practices. Team Leadership: Mentor a team of 3 engineers, fostering best practices in software development and code More ❯

computing environments, Linux, and Unix-based operating systems. 5. Demonstrated experience in platform and application automated deployment. 6. Demonstrated experience using AWS to include S3, EBS, and EC2. Desired: 1. Demonstrated experience managing and mitigating IT security vulnerabilities using Plans of Actions and Milestones (POAMs). 2. Demonstrated experience More ❯

level knowledge on AWS Must have done recent work on cloud migration to AWS Experience with Redshift Data query optimisation and performance tuning AWS S3 – Data Lake storage EKS for scaling containerised applications Python Infrastructure as code (IaC) CloudFormation, Terraform Nice to have: Cloud security (IAM) This is a More ❯

level knowledge on AWS Must have done recent work on cloud migration to AWS Experience with Redshift Data query optimisation and performance tuning AWS S3 – Data Lake storage EKS for scaling containerised applications Python Infrastructure as code (IaC) CloudFormation, Terraform Nice to have: Cloud security (IAM) This is a More ❯

level knowledge on AWS Must have done recent work on cloud migration to AWS Experience with Redshift Data query optimisation and performance tuning AWS S3 – Data Lake storage EKS for scaling containerised applications Python Infrastructure as code (IaC) CloudFormation, Terraform Nice to have: Cloud security (IAM) This is a More ❯

level knowledge on AWS Must have done recent work on cloud migration to AWS Experience with Redshift Data query optimisation and performance tuning AWS S3 – Data Lake storage EKS for scaling containerised applications Python Infrastructure as code (IaC) CloudFormation, Terraform Nice to have: Cloud security (IAM) This is a More ❯

our client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows More ❯

our client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows More ❯

Proven experience as a Data Engineer or in a similar role. Proven experience on Data Platform Management. Effective Experience with AWS services such as S3, Athena, Glue, Redshift. Effective experience in Databricks (preferably on AWS). Strong programming skills in Python, Spark, SQL, or another data engineering language. It More ❯

or Sage Intacct with internal systems via APIs. - Proficiency in scripting (e.g. Python, Bash) for automation and data transformation. - Experience with AWS services (Lambda, S3, EventBridge) as part of integration workflows. - Knowledge of REST API design, authentication (OAuth, API keys), and error handling. - Ability to balance BAU support with More ❯

experience with cloud architecture across multiple platforms: Azure, AWS, Google Cloud Knowledge of cloud deployment, including: ECS, cloud storage, and networking (AWS EBS, EFS, S3; Azure Accelerated Networking) Experience with containerization tools such as Docker, Kubernetes Working with message brokers like: RabbitMQ, Kafka Proficient in scripting languages: Powershell, Bash More ❯

capabilities such as reporting, detections, searching on that data. These integrations are typically Cloud based and can be via Restful API, Amazon S3 or bespoke methods About the Role As a Senior Engineering Manager , your primary responsibility will be to Lead multiple engineering teams in the design More ❯

systems Strong proficiency in Python, TypeScript, and cloud platforms (especially AWS) Hands-on experience with tools such as CDK, ECS, Step Functions, Lambda, and S3 Proficiency with GitHub or similar version control systems Ability to work independently and deliver features from design to deployment Strong analytical thinking and problem More ❯

Ability to handle pressure and focus on results. Desirable Proficiency in a wide range of public cloud technologies (ex. AWS EC2, EKS, EBS, RDS, S3, etc.) Experience working with industry standard regulations and compliance frameworks (PCI-DSS, ISO, NIST, SANS, SOX, SOC II, HIPAA) Microsoft qualifications in relation to More ❯

Ability to handle pressure and focus on results. Desirable Proficiency in a wide range of public cloud technologies (ex. AWS EC2, EKS, EBS, RDS, S3, etc.) Experience working with industry standard regulations and compliance frameworks (PCI-DSS, ISO, NIST, SANS, SOX, SOC II, HIPAA) Microsoft qualifications in relation to More ❯

systems, and know how to design for performance, reliability, and cost-effectiveness. You have hands-on experience with cloud platforms, specifically AWS services like S3, EMR, Glue, and Athena. You are familiar with containerization (Docker, Kubernetes) and orchestration tools like Airflow. What you will get in return: 70% off More ❯

cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data More ❯

cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data More ❯