6 of 6 Amazon S3 Jobs in Cambridgeshire

equivalent Enterprise Clouds as well as experience in the areas listed below. Networking and DNS (VPC, subnets, security groups) Cloud services/APIs (S3, SQS, Cognito etc. etc.) Serverless compute and containerization (Lambda, ECR, docker, docker-compose) Database management and administration (PostgreSQL, DynamoDB) Logging, monitoring and alarms (Cloudwatch ...

provide on-call support (typically this can be 1 week in 4). Your technical experience should include extensive use of AWS, cloud services (S3, SQS), serverless containerisation (Lambda, docker), network security (subnets, VPC), database management (PostgreSQL), scripting for automation (Bash, Python), IaC (Terraform), Cloud monitoring and alarms (Cloudwatch ...

Experience building large-scale ingestion and normalisation pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance ...

Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling ...

trading/market data in production Proven work on real-time, high-volume pipelines Familiar with distributed SQL/NoSQL Bonus Skills Clickhouse and S3/data lakes C++ on Linux Terraform or similar IaC Network protocols and exchange data What's on Offer Fully remote role ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...