76 to 100 of 174 Permanent Amazon S3 Jobs in the UK

Science, Information Technology, or a related field (or equivalent experience). Proven experience working with AWS services and technologies, including EC2, ECS, EKS, ECR, S3, Lambda, EFS, DynamoDB, RDS, KMS, ELB, Cognito, CodeDeploy, and VPC. Proficiency in Python programming. Knowledge of OIDC (OpenID Connect) for authentication and authorization. Experience 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 »

regulations Infrastructure as Code, Ansible, Terraform and Containerisation, Docker, Kubernetes Experience with AWS and Azure cloud component and services integration (RDS/Azure DB, S3/Azure Blob) Knowledge of authentication and Biometric system design, implementation and standards e.g. FIDO, NIST,ITL, security token engineering (JSON Web Tokens JWT more »

large scale, robust production software in a fast-changing environment with rapid release cycles. Knowledge of Java, Cucumber DynamoDB, Redis and Redshift Cloud: AWS (S3, EC2, Lambda, AWS Glue/Spark, IAM, Cloudwatch, MSK, Managed Airflow, Athena, Kenesis) Experience of writing and taking responsibility for technical documentation. Knowledge and more »

ORACLE, No-SQL, MVC. Additional scripting language:- DotNet core 6/7. Tracking tool:- Jira. Documentation:- Confluence Web Page. AWS Services:- AWS-LAMBDA, ECS, S3, EC2, Application Load balancer, RDS, SNS, API Gateway, AWS-CICD, etc. Preferred Qualifications & Skills Hands-on experience in Java SE 11 and above, Apache 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 »

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 »

and improving existing processes. Experience with monitoring and logging tools, such as Prometheus and Grafana. Desirable experience with AWS , including services such as EKS, S3, RDS, Lambda etc. to support our ongoing cloud migration. Bonus if you have experience and enjoy backend development , as we support contributions in this more »

others through mentoring and coaching. Additional Information Our Tech Stack – (experience with all of the below is not required) AWS: Lambda, ECS, Dynamo DB, S3, Event Bridge, SQS, SNS, API Gateway, VPC, Security Hub, Control Tower and Cloud Trail Extra: CDK as infrastructure as Code, Snowflake, LaunchDarkly, Pagerduty Programming 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 »

technologies, such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt and Airflow/Dagster. Experience with Cloud providers. Familiarity with AWS S3, ECS and EC2/Fargate would be considered particularly beneficial. Extensive experience with database technologies (SQL/NoSQL). Proven ability to work collaboratively more »

Spark, Apache Spark, Apache Druid, BigQuery and Redis Familiarity with cloud technologies. Ideally AWS and technologies such as EC2, ECS, EMR, AWS Lambda, DynamoDB, S3, Kinesis, SQS, SES, Cloudwatch.... Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse... is highly desirable. more »

particularly within AWS and GCP. Capable of building innovative and impactful products across multiple platforms, with specific expertise in CloudFront, EKS, Lambda, SNS, SQS, S3, EC2, DynamoDB, and Aurora. Proficient in programming languages including Node.js, JavaScript, TypeScript, Java, and Python, along with database management systems such as MySQL and 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, EFS, ElastiCache, IAM, CloudWatch. Strong skills in Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation. Hands-on experience with Jenkins 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 »

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 »

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 »

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 »

with enterprise direction. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.) or similar native Azure or GCP services. Strong experience on Snowflake or DataBricks (including PySpark) along with tools like more »

trading, fixed income, market risk Good knowledge of database design and data structures Proficiency with SQL-related technologies Knowledge of AWS such as ECS, S3, DynamoDB Evidence of exceptional analytical and problem-solving skills High attention to detail and ability to work on multiple fast-paced projects simultaneously Proactive more »

s Cross office) at least once a month. Work using managed, serverless services in AWS (Lambda, IoT/MQTT, API Gateway, MongoDB Atlas, DynamoDb, S3). Code using a Node.JS stack - mainly TypeScript, with some JavaScript and React, in an automated test-first environment. Work closely with product managers more »

validate datasets from a variety of global sources using Python, C, or C++ and storing resultant datasets both on-prem and in the cloud (S3) Engage with stakeholders across Optiver globally to build data solutions that meet the business needs Ensure that end-to-end data solutions are deployed more »

identifying the necessary edge cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik 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 »

to quality and are committed to delivering the best experience possible to our users. We Use and Teach: AWS for infrastructure, specifically EKS, RDS, S3 and Lambda . Terragrunt and Terraform for infrastructure orchestration. DataDog for monitoring. Docker to package our services into containers. Git for managing change. TypeScript … React and Node .js for our platform. Core Skills: AWS, Terraform, Datadog, Docker, Typescript Other Skills: Git, React, Node.js, S3, AWS Lambda Seniority: Lead #J-18808-Ljbffr more »