1 to 25 of 248 Permanent Amazon S3 Jobs

in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products will be a big plus. · Understanding more »

. Experience using modern build tools such as Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems more »

SageMaker; Particularly SageMaker Pipelines, Endpoints, Batch Transformation/Inference, o Ideally SageMaker Studio and related technologies Amazon MLOps technologies; IAM, S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn more »

Laravel, Postgres/MYSQL, React frontend, Redux and APIs. This role will involve working on a monolithic architecture, managing multiple environments, and utilizing AWS S3 for storage. Knowledge of Node.js and TypeScript is a plus. Responsibilities: Develop and maintain backend functionalities using Laravel PHP framework. Build and maintain responsive … external services and systems. Collaborate with cross-functional teams to ensure successful project delivery. Deploy and manage applications on Heroku hosting platform. Utilise AWS S3 for storing and retrieving objects as needed. Writing unit tests Support QA Engineer’s with automated regression pack Requirements: Bachelor's degree in Computer more »

networking concepts and protocols, including TCP/IP, DNS, and HTTP/S. Experience with cloud platforms, particularly AWS, and related services like EC2, S3, and IAM. Ability to work collaboratively in a fast-paced, agile environment, with excellent communication skills. Good-to-have: Understanding of serverless architectures and more »

Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with a particular focus on using AWS Glue, S3, RDS and AWS Lambda. Experience in implementing Infrastructure as Code (e.g. AWS Cloud Development Kit (CDK), Terraform, Ansible). Familiarity with container technologies such more »

finance systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS S3, Snowflake etc. more »

Detection and Incident Response: Develop and maintain detection mechanisms for security threats and incidents within AWS infrastructure, including EC2 instances, Kubernetes clusters, Docker containers, S3 buckets, and RDS databases. Respond promptly to security incidents and conduct thorough post-incident analysis to prevent future occurrences. Vulnerability Management: Conduct regular vulnerability … automated scanning tools to ensure continuous security monitoring. Secure Configuration Management: Establish and enforce secure configuration standards for EC2 instances, Kubernetes clusters, Docker containers, S3 buckets, and RDS databases. Automate configuration management processes using infrastructure-as-code tools (Terraform). Security Compliance: Ensure AWS infrastructure and applications comply with … commercial experience. • 3+ years of experience in security operations, with a focus on AWS environments. • Strong understanding of AWS services including EC2, EKS, Cloudfront, S3, and RDS. • Experience securing web applications • Solid understanding of networking concepts and protocols, including TCP/IP, DNS, and HTTP/S. Desirable attributes more »

Bash or Shell. • Programming Languages: Experience in Python or Go Lang. • AWS Services: Significant hands-on experience with AWS services such as EKS, EC2, S3, IAM, Networks, serverless, Lambda, DynamoDB, Athena, CloudWatch. • CI/CD: Experience with CI/CD platforms and creating CI/CD pipelines. Such as more »

with past experience with Java, Data, and Infrastructure (DevOps). Java is a key skill Programming: Java, Python, PySpark Storage Mechanisms: MongoDB, Redshift, AWS S3 Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Data Platforms: Creating data pipelines within Databricks or equivalent such as Jupyter more »

is highly desirable Strong skills and knowledge of Public cloud technologies to enable Cloud First delivery - AWS Elastic Kubernetes Service (EKS)/Cluster, EC2, S3 Buckets, Athena, Lambda, Glue and other services Docker – Container and Package Registry, AWS PostGres (database), Grafana dashboards to visualise test results Strong experience of more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery more »

the future of AI Responsibilities: Productionising and scaling Neo4j/graph databases/deep learning on knowledge graphs Productionising open source LLMs AWS Infrastructure - S3, SQS, ECS, RDS, Terraform and containerisation Develop and maintain ETL pipeline infrastructure ideally with SQS/similar queueing communication mechanisms Hardcore ETL especially with … a senior capacity Strong experience of Python Deep knowledge of NLP such as hugging face and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a big plus Familiar with Graph Data Structure and Algorithms Benefits: Competitive salary and benefits package, including health more »

etc) in the Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud more »

you will be available to start ASAP. They require a candidate who has: JAVA 11 Core JAVA Spring Framework Microservices Kafka AWS (EC2, EKS, S3 etc)...AWS and UI skills are good to have 8 Years Back End development experience more »

for design consistency, workload balance, and delivering projects on time Skills: PHP (Essential) Laravel (Essential) Symfony (Essential) HTML, CSS JavaScript (React preferred) AWS – EC2, S3, RDS, Cloudfront, Cloudwatch Nginx Linux PHPUnit Cordova (preferred) Even if you do not tick all the boxes, don't hesitate to apply. The company more »

needs to have an understanding of Data modelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge more »

finance systems onto the cloud platforms, one of the key strategies for the division in which you’ll get exposure to technologies like AWS S3, Snowflake, EMR etc. These are great roles playing a role on some really big interesting projects. more »

developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency more »

developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency more »

projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »

and optimize failing or slow data pipelines and queries. Enthusiasm for clean systems, including documentation, logging, and reproducibility. An interest in working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously. Strong problem-solving more »

/CSS, Docker, GitHub Actions, AWS – CDK, ECS, ALB, VPC. API’s : Go, Rest, CDK. AWS – CDK, Lambda, API Gateway, Dynamo DB, Event Bridge, S3, Serverless and event driven architecture Platforms : Go, CDK, AWS What you’ll get for this role: Our purpose - with you today, for a better more »

distributed event store and stream-processing platform. Experience (1+ year) working with Redis or equivalent in-memory storage. Experience (1+ year) working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Experience (1+ year) with concurrent development source control (GIT). Systems integration experience (1+ year) with networking, data more »