5 of 5 Amazon S3 Jobs in Warrington

pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of data infrastructure. More ❯

out a new email security platform Leading systems knowledge discovery, documentation, and operational efficiency drives Supporting ISO27001 processes and overall IT security improvement Technical Requirements: AWS (EC2, RDS, Lambda, S3, SQS, SES, DynamoDB) Infrastructure as Code (Terraform, CloudFormation, etc.) Strong experience in PowerShell scripting and automation Windows & Linux server management Knowledge of email systems Experience setting up or improving More ❯

with developers, architects, and DevOps teams to ensure our data infrastructure aligns with business needs and industry standards. Your Responsibilities Manage, configure and optimise PostgreSQL databases hosted on Amazon Aurora and Oracle databases hosted on on-premise Exadatas and AWS RDS. Support the migration of high-performance, mission-critical databases from on-premise Exadata's to AWS Aurora … strategies, and a strong understanding of Postgres' vacuum/MVCC process. Proven experience with query optimization and database performance tuning. Hands-on experience with AWS services such as EC2, S3, VPC, and IAM. Solid understanding of database security principles and compliance frameworks Experience implementing robust backup and recovery strategies. Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity More ❯

to B with Python. Key Experience Required: Expertise in SQL Server (approx. 75%) including performance tuning, data warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including More ❯

extraction, transformation, and loading (ETL) processes Proficiency in SSH and managing/troubleshooting virtual machine environments Familiarity with orchestration tools such as Apache Airflow Experience with AWS services (e.g., S3, EC2, RDS) Understanding of cloud-based environments (Google Cloud Platform experience a plus) Ability to collaborate across infrastructure, data engineering, and business teams Experience supporting pharmaceutical or life sciences More ❯