1 to 25 of 174 Amazon S3 Jobs in the UK

London 3 days a week, have a valid visa as we Are not able to sponsor Technical Stack:- Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm’s … Requests etc. in SQL programming, Postgres SQL. knowledge on unit testing using PyTest on DevOps like CI/CD, Jenkins, Git. working with AWS(S3) and Azure Databricks. experience in delivering project with Agile and Scrum methodology. to co-ordinate with Teams across multiple locations and time zones interpersonal more »

a 6 month contract. Significant commercial experience with the following technology: ● Ansible ● CDK and AWS Development Tools including CloudFormation ● OpenSearch/ElasticSearch ● AWS IAM, S3, EC2, RDS ● MongoDB ● Postgres ● SQL ● Monitoring solutions (e.g., CloudWatch, Grafana) Significant and demonstrable experience in the following areas: ● Making excellent quality software with other … a 6 month contract. Significant commercial experience with the following technology: ● Ansible ● CDK and AWS Development Tools including CloudFormation ● OpenSearch/ElasticSearch ● AWS IAM, S3, EC2, RDS ● MongoDB ● Postgres ● SQL ● Monitoring solutions (e.g., CloudWatch, Grafana) Significant and demonstrable experience in the following areas: ● Making excellent quality software with other more »

someone to enhance their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations 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 »

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 »

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 »

disaster recovery design and deployment would be an advantage Competent with these AWS services: Lambda, CloudFormation, CloudWatch, QuickSight, ElastiCache, IAM, VPC, ECS, EC2, ECR, S3, RDS Good ability to automate tasks using Terraform Contact: Matt Jacob – CPS Group UK 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 »

company, aligning with their unique requirements. We'd Love to See: AWS Associate certification or 2+ years of experience with ECS, RDS, ELB, VPC, S3, IAM, Route53, and serverless computing. Proficiency in Infrastructure as Code, particularly Terraform and CDKTF. At least 5 years of experience in Linux (Debian, Centos … Amazon Linux). Expertise in Docker, virtualization, and configuration management tools like Ansible, Chef, Puppet, Salt. Strong skills in Python and Bash scripting. Ability to apply security best practices in a cloud environment and optimize infrastructure costs. Experience managing, configuring, and troubleshooting Linux-based services and cloud infrastructure. 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 »

BI tools – Tableau, Oracle DV etc. - The work involves on premise and cloud platform environments, covering relational databases (PostreSQL, Oracle) and file stores (AWS S3). - Which of your skills will be used? - Building data warehouse solutions (using Oracle data warehouse tech) - Developing and enhancing ETL/ELT and 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 »

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 »

or a related field 3+ years of experience as a Cloud Engineer, with a focus on AWS Strong expertise in AWS core services (EC2, S3, VPC, IAM, etc.) Experience in building and managing AWS landing zones Proficiency in using Terraform for infrastructure as code Experience in Site Reliability Engineering 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 »

/sprint goals Strong experience with infrastructure as code on AWS using a wide range of AWS services; ECS and networking especially, but including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot – very confident in at least one other mainstream language Comfortable with SQL and 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 »

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 »

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 »

Team is responsible for transforming complex legal information challenges into data-driven tools that can be integrated into their product portfolio. Tech Stack Storage: S3 (object storage), DynamoDB (rapid retrieval) Search & Analytics: Elastic Search Core Functionality: Python, GraphQL API Front End: React with TypeScript and JavaScript Cloud Infrastructure: AWS more »

someone to enhance their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations 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 »

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 »

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 »

Flexible working 📍Autonomy to design AWS Solutions 📍Become a SME in AWS Services Skills needed 📍SME In AWS services such as - AWS ECR, EKS, S3, DynamoDB and CloudFormation 📍Skilled in Coding such as PHP, Java or Python 📍Previous experience in an Architecture role or DevOps role with Architectural responsibilities more »