501 to 525 of 708 Amazon S3 Jobs

a consultancy who undertake a lot of data and cloud projects for the government. We're looking to hire senior Data Platform engineers, who have some consultancy experience. Skills S3/Redshift Terraform CI/CD (Gitlab) Airflow YAML More ❯

a consultancy who undertake a lot of data and cloud projects for the government. We're looking to hire senior Data Platform engineers, who have some consultancy experience. Skills S3/Redshift Terraform CI/CD (Gitlab) Airflow YAML More ❯

architect AWS cloud solutions aligned with business and technical requirements. Evaluate existing database environments and recommend modernization strategies using AWS services. Good hands-on Knowledge on AWS services including S3, RDS, EC2, VPC, IAM, CloudWatch, and CloudTrail. Implement best practices for database performance, security, backup, and disaster recovery. Collaborate with application teams, DevOps, and cloud engineers to ensure seamless More ❯

ideas to a fast-moving, innovative environment Strong experience with Java (11+) and Spring Boot Proven track record building and deploying Microservices Solid understanding of AWS services (ECS, Lambda, S3, etc.) Enthusiastic about AI, data-driven development, and continuous learning Be part of an AI-first engineering culture driving innovation in real-world applications Hybrid work 3 days a More ❯

performance, scalable web applications using React and TypeScript. Strong proficiency in React and TypeScript Deep understanding of modern front-end development practices and tools Experience with AWS services like S3, Lambda, and DynamoDB Familiarity with GraphQL for building APIs Bonus: Exposure to backend technologies like Node.js, Go, or Python Pay range and compensation package Generous holidays and fully remote More ❯

Test Analyst Strong SQL skills with Postgres JSON/JSONB operators. Proven experience in data analysis and reconciliation, ideally with ETL experience. Basic understanding of AWS services such as S3, QuickSight and Glue. Knowledge of JSON/Avro schemas and validation. Familiarity with Postman and PowerShell scripting. Apply To apply for the Test Analyst role, please send your CV More ❯

scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including More ❯

scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including More ❯

traders, and developers to support research, trading, and risk workflows. Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. More ❯

Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. More ❯

Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. More ❯

Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. More ❯

Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. More ❯

support research, trading, and risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. More ❯

support research, trading, and risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. More ❯

as a Data Engineer delivering data pipelines that create high-quality data assets that are stable, scalable and re-useable. Experience developing and deploying data pipelines within an AWS S3 Data Lake using VS Code, Glue, Lambda, Git Hub and Terraform Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight More ❯

as a Data Engineer delivering data pipelines that create high-quality data assets that are stable, scalable and re-useable. Experience developing and deploying data pipelines within an AWS S3 Data Lake using VS Code, Glue, Lambda, Git Hub and Terraform Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight More ❯

building SPA applications 8. Solid experience in developing custom Data Pipelines to extract data, map data, transform data, and to load data in various data stores like RDBMS, Oracle, S3, PL/SQL, and/or shared drives. 9. Solid experience in Python and libraries such as Panda/NumPy, etc. or Spark 10. Demonstrable experience developing scripting in More ❯

reliability, scalability, and security Troubleshoot complex production issues and design long-term fixes Tech Stack Core: React UI, Node Backend with some Python services Cloud: AWS (Lambda, API Gateway, S3, KMS, Nitro Enclave) APIs: REST (GraphQL a plus) DevOps: CI/CD pipelines, automated testing, modern observability tools Security-first mindset: Designing for reliability and compliance from day one More ❯

REST APIs. Familiarity with Git version control. Excellent problem-solving skills and attention to detail. Desirable: Degree in Computer Science or equivalent industry certification. Experience with cloud services (AWS S3), caching (Redis), and CI/CD pipelines (e.g. GitHub Actions). Exposure to third-party integrations or payment gateways. Understanding of testing frameworks such as Jest or Cypress. Behavioural More ❯

a platform beyond notebook usage, including governance, workspace design, multi-domain enablement, and Unity Catalog patterns. Nice to Have Skills Hands-on familiarity with Terraform, AWS infrastructure concepts (IAM, S3, networking), and IaC workflows. Platform mindset with experience building internal platform products with developer experience and scale in mind. General knowledge of cybersecurity and secure-by-default design patterns More ❯

and delivery using techniques like code splitting, lazy loading, and CDN-aware strategies. Ship confidently with containerised deployments (Docker), CI/CD pipelines (GitHub Actions), and cloud hosting (AWS S3/CloudFront). Take ownership of quality by championing testing, accessibility (WCAG 2.1), error monitoring, and frontend performance. Collaborate with AI, backend, product, and design teams to translate ambitious More ❯

scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools). Lead technical execution for major components of Twilio's observability overhaul, including shift to centralized S3-based data lakes, OpenTelemetry instrumentation, and ClickHouse-backed query engines. Deep proficiency in at least one modern programming language (e.g., Go, Python, Java). Familiarity with high-cardinality data More ❯

for continuous improvement and change - you are thoughtful about how your day-to-day work can solve immediate needs while advancing tech and data maturity Existing familiarity with AWS (S3, Athena) or SQL is not essential but a strong nice-to-have At Funding Circle we are committed to building diverse teams so please apply even if your past More ❯

including data modelling, analysis, transformation, migration, metadata, and master data management. Experienced delivering data analytics solutions and supporting AI initiatives. Hands on experience with cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, AzureFunctions). Familiarity with modern data lakehouse environments such as Databricks, Snowflake, or Microsoft Fabric (highly desirable More ❯