1 to 25 of 51 Permanent Amazon S3 Jobs in the South East

of working with both streaming data sets and more traditional data sets Experience with AWS data stack, would consider other cloud platforms (such as S3, Glue, Athena,) Experience with infrastructure as code Terraform Have working SQL knowledge and experience working with several relational databases Experience in Python Women in more »

Git-based version control tools. Proficiency with Linux commands and Bash Scripting. Working experience with AWS Big Data services (EMR, Glue, Data Pipelines, Athena, S3, Step Functions, etc.) and AWS CLI. Experience with CI/CD tools such as Jenkins. Experience working with relational and/or MPP databases. more »

of statistical techniques and concepts, including regression, properties of distributions, statistical tests, and accurate usage. Experience using web services and languages, including AWS, EC2, S3, Redshift, DigitalOcean, etc. Detail orientated, with a good work ethic and the ability to collaborate across different teams. Experience in Excel is a plus. more »

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

a database or data warehouse and scripting experience (Python) to process data for modelling PREFERRED QUALIFICATIONS • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

a database or data warehouse and scripting experience (Python) to process data for modelling Preferred qualifications: • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Please apply for an more »

knowledge on data standardization, transformation, cleansing and best practices to apply on high volume data Good knowledge on AWS with AWS components like EC2,S3, IAM etc Strong business acumen that enables the ability to develop strategy, process capabilities, and enabling database technologies Experienced in creating highly available systems more »

Intelligence Engineer Contract Length – 6 months Hybrid - London Candidate Pay Rate: £500.00 - £550.00 Daily Key Skills: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets DESCRIPTION Business intelligence engineer … a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested more »

services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work closely … a focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and more »

cloud environments. Strong knowledge of AWS services relevant to data architecture, such as Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue, and AWS Lambda. Experience designing and implementing data lakes, data warehouses, and analytics solutions on AWS. Proficiency in data modeling, SQL, and more »

experience in using it for building robust applications. Proficiency in the Spring framework, including Spring Boot. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, RDS). Strong understanding of software development principles, design patterns, and best practices. Experience working with relational databases such as MySQL or PostgreSQL. more »

Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »

in our on-call rotation, and resolve production issues Continuously improve automation, monitoring and deployment processes Requirements: Experience with AWS services such as ECS, S3, RDS, Lambda, CloudFront, etc. Experience with monitoring tools like DataDog, CloudWatch, and Grafana Experience with Docker, ECS, Kubernetes or similar containerisation technologies Knowledge of more »

experience with relational database (e.g. PostgreSQL) - Hands-on experience on Git, Jenkins - Understanding of micro-services architecture - Understanding of AWS services like ECS, EKS, S3, SQS - Understanding of REST APIs - Understanding of CICD - Good understanding of Kubernetes Nice to have Skills: - Docker - JavaScript: ReactJS and NodeJS preferred - AWS API more »

as code, ensuring consistency and efficiency in deployment processes. Implement and manage hosting and orchestration solutions using Docker, Fargate, Service Catalogue, Service Manager, AWS S3, MKS, Docker, Kubernetes, AWS Autoscaling Groups (ASG), EC2 instances, and ELB (Elastic Load Balancer). Utilize Consul for configuration management and Vault for secure more »

and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including more »

required. Cloud migration experience is required Microservices and Serverless experience is required Hands on knowledge in various AWS services like VPC, Lambda, Event Bridge, S3, DynamoDB, System Manager, API Gateway, ACM, Route53, Cloud Watch etc Experience with strategizing and solution migration of legacy enterprise app (Lift & Shift/Code more »

with PostgreSQL. Demonstrated ability to design, implement, and maintain REST API services. Familiarity with Google Cloud Platform (GCP) services and architecture. Experience with AWS S3 or equivalent cloud object storage solutions. Knowledge of Docker, Kubernetes, or similar containerisation and orchestration technologies. Strong understanding of software development life cycle (SDLC more »

or Ruby Docker or Packer Config Management such as Vault Maven Gradle Cloud Architecture with AWS, GCP or Azure and services such as EC2, S3 etc Network Config understanding Working in an Agile way. more »

experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL, MariaDB Experience in using AWS services - 3+ of the following: EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Works well in a team and with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines more »

/CD. Some experience in system architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working more »

teams on any emergency issues Nice to Haves: Hands-on experience in administering cloud technologies on AWS, especially with IAM, VPC, Lambda, EKS, EC2, S3, ECS, CloudFront, ALB, API Gateway, RDS, CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL … Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). Knowledge of Database administration Demonstrate experience of using Terraform to provision and configure infrastructure Scripting ability – PowerShell, Python, Bash etc. Comfortable working with Linux/Unix based operating systems (Ubuntu preferred) Familiarity with software development, CICD and DevOps more »

backend systems for data processing at scale within AWS. In-depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Demonstrated expertise in implementing and maintaining Kafka-based event-driven services. Proficiency in both relational and NoSQL databases, with an understanding more »

or more consecutive years Have practical experience designing and delivering using AWS or Azure such as:Azure SQL Data Warehouse, Azure Data Lake,AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e.Hadoop Hive, Pig, Impala or similar Have experience with Open more »

Experience with Apache Kafka and confluent platform In-depth knowledge of Kafka Architecture In-Depth Experience with AWS Cloud Platform Core Components - EC2, EBS, S3, IAM, KMS, Cloudwatch, SQS, SNS, AWS Secret Manager Hands-on experience with Unix Shell scripting, Python, Docker, Jenkins, Kerberos, SSL/TLS Active Directory more »