4 of 4 Amazon S3 Jobs in Northampton

delivery of Service Delivery Programs Experience (Essential) A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway, Lambda, SQS, Eventbridge and Step 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 ❯

and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills: AWS Services: Strong … understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and More ❯

focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as More ❯