5 of 5 Remote/Hybrid Amazon S3 Jobs in Colchester

understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. Strong analytical and problem solving mindset with ...

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 ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

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 ...