disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments More ❯
language, preferably in Java and the eagerness to learn more Spring Boot with Spring Cloud Terraform Docker Event Sourcing DataDog CI/CD AWS DynamoDB SNS SQS ECS Fargate RDS OpenSearch Perks of the job Flexible working: Spend 3 days a week with your team in our new collaborative More ❯
a lasting impact. Core Responsibilities Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS. Developing and deploying cloud-native applications following microservice design patterns. Implementing infrastructure as code using tools like Terraform or More ❯
a lasting impact. Core Responsibilities Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS. Developing and deploying cloud-native applications following microservice design patterns. Implementing infrastructure as code using tools like Terraform or More ❯
most value from cloud technology. You'll craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. As we continue to rapidly expand in EMEA, you'll have plenty of opportunities to More ❯
the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, AmazonDynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AWS Lake Formation, and other AWS services. You will collaborate across the More ❯
build, own, and run services in high growth environment • Solve unique and first-order problems in areas such as compute services including containers & serverless, DynamoDB/NoSQL databases, Glacier and S3 data lakes, and many other AWS Services • Learn how to build and operate distributed systems at scale • Build More ❯
ll craft and execute strategies to drive our Partners adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more. Our Technical Account Managers partner with some of the most iconic businesses in the country. More ❯
working with Enterprise customers, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within More ❯
with Public Sector customers, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within More ❯
designing and deploying future state data services and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and other NoSQL databases adoption. Key job responsibilities - Provide Small/Medium Business (SMB) customers with deep technical expertise to advance AWS Database Services More ❯
of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical More ❯
scripting experience (Python) to process data for modeling. Experience in the data/BI space. 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. Amazon is an More ❯
of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical More ❯
programming skills in Python and PySpark for data processing and automation. Extensive SQL experience (Spark-SQL, MySQL, Presto SQL) and familiarity with NoSQL databases (DynamoDB, MongoDB, etc.). Proficiency in Infrastructure-as-Code (Terraform, CloudFormation) for automating AWS data workflows. Experience designing, implementing, and optimising ETL pipelines, including real More ❯
programming skills in Python and PySpark for data processing and automation. Extensive SQL experience (Spark-SQL, MySQL, Presto SQL) and familiarity with NoSQL databases (DynamoDB, MongoDB, etc.). Proficiency in Infrastructure-as-Code (Terraform, CloudFormation) for automating AWS data workflows. Experience designing, implementing, and optimising ETL pipelines, including real More ❯
and value. Your responsibilities as Principal Data Engineer include: Building cloud-native data platforms using AWS services such as Redshift, Glue, S3, Lambda, and DynamoDB Designing and implementing ETL/ELT pipelines using Matillion and similar tools Leading on solution deployment using infrastructure-as-code and CI/CD More ❯
and security groups. Implement VPNs and Direct Connect for secure and reliable connectivity. Database Management: Design and manage AWS database services such as RDS, DynamoDB, and Redshift. Implement data replication, backup, and recovery strategies. DevOps and Automation: Collaborate with DevOps teams to integrate CI/CD pipelines and automate More ❯
scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX and/or crypto trading/markets. Familiarity with event-driven More ❯
track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and More ❯
If You Have: • Experience in pre-sales, sales engineering, or technical consulting roles. • Previous experience building or managing demo environments. • Exposure to Angular, Python, DynamoDB, Snowflake, and Terraform. Communication & Problem Solving: • Excellent written and verbal communication skills. • Strong problem-solving capabilities in a fast-paced environment. Working Style: • Comfortable More ❯
QUALIFICATIONS Experience in data mining, ETL processes, and handling large-scale, complex datasets in a business environment. Experience with AWS services such as EC2, DynamoDB, S3, and Redshift. Our inclusive culture empowers Amazonians to deliver the best results. If you need workplace accommodations during the application or onboarding process More ❯
and infrastructure. Support the integration of Gen AI applications into existing 3rd Party applications like SAML (Okta, Azure AD), with AWS Services like IDC, DynamoDB, ensuring seamless integration, scalability, and adherence to security best practices. Collaborate with cross-functional teams, such as Gen AI Strategists, Customer Project Managers, user More ❯
and infrastructure. - Support the integration of Gen AI applications into existing 3rd Party applications like SAML (Okta, Azure AD), with AWS Services like IDC, DynamoDB, ensuring seamless integration, scalability, and adherence to security best practices. - Collaborate with cross-functional teams, such as Gen AI Strategists, Customer Project Managers, user More ❯
from 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 Our inclusive culture More ❯
