before start Proactive self-starter demonstrating a positive, willing attitude and excellent oral and written communication skills Two or more years of experience with Amazon Web Services (S3 Buckets, EC2, Reserved Instances, etc.) Familiar with System Engineering documentation creation (network diagrams, data flows, etc.) Experience working with Agile Team Collaboration tools such as (Jira, Confluence, BitBucket) Strong … product experience (Oracle Access Manager, Oracle Unified Directory, etc.) Experience with Kubernetes Experience with Elastic tools (ElasticSearch, Kibana, Logstash) Experience with AWS and other cloud vendors Experience with Amazon Web Services technical performance versus cost management Experience with cloud-based architectures Familiar with cross domain architectures at various levels Experience with automated testing and monitoring Experience with Engineering More ❯
Intelligence Engineer, Legal Litigation Are you interested in creating the most innovative Legal department in the world, solving unique operational challenges no other company has tackled? Operating at Amazon's scale demands intelligent systems, and a business operations mindset, to wrangle the tens of thousands of incoming legal requests and claims with increasing efficiency as Amazon … Luxembourg. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to "Work Hard. Have Fun. Make History". Key job responsibilities Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a … data warehouse and scripting experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunities employer. We More ❯
Business Analyst, Stranded Inventory Reduction Program At Amazon, we strive to be the most innovative and customer centric company on the planet. Come work with us to develop innovative products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers and software developers. This role is based out of … SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best … for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
some scripting ability in Python and a passion for troubleshooting and continuous improvement. • Working knowledge of Linux/LAMP environments (CLI, system services, user management) • Experience with AWS (EC2, S3, IAM, etc.) • Basic to intermediate Python scripting skills • Familiarity with MySQL or similar relational databases • Understanding of ITIL practices for service support Platform/Application Support Analyst- Linux/ More ❯
Experience with UI/UX design 1+ year experience working as a Data Engineer/Analyst or equivalent Experience using Amazon Cloud Services such as (Textract, Lambda, S3, MongoDB) Location: Washington, DC Travel: No travel required More ❯
Cloud Data Migration Engineer you will have the following: Proven experience in data migration or infrastructure engineering, preferably in global or enterprise-scale AWS environments. Strong knowledge of AWS S3, Snowball, Storage Gateway, and relevant ingestion tools and services. Understanding of Terraform (AFT), CI/CD pipelines, and infrastructure as code in a DevOps context. Experience working with monitoring More ❯
London, England, United Kingdom Hybrid / WFH Options
Formula Recruitment
Cloud Data Migration Engineer you will have the following: Proven experience in data migration or infrastructure engineering, preferably in global or enterprise-scale AWS environments. Strong knowledge of AWS S3, Snowball, Storage Gateway, and relevant ingestion tools and services. Understanding of Terraform (AFT), CI/CD pipelines, and infrastructure as code in a DevOps context. Experience working with monitoring More ❯
Lead Analytics, ROW Supply Chain Analytics Amazon's Rest of the World (ROW) Supply Chain Analytics team is seeking an exceptional BIE to join our Delivery Speed Analytics function. In this role, you will be at the forefront of developing solutions that directly impact Amazon's delivery promise capabilities. You will collaborate with Supply Chain and … and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high quality SQL codes to retrieve and analyze data 3.Working with large data … SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best More ❯
Business Intelligence Engineer, WHS Data At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive … mathematics, finance or equivalent quantitative field PREFERRED QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Master's degree in BI, finance, engineering, statistics, computer … science, mathematics, finance or equivalent quantitative field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Prism Digital
problem with them. Working on our client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows server upgrades Easy onboarding for More ❯
physical data models to enable the development of physical data stores. Creating and supporting the creation of interface/data product logical models. Working with the AWS toolset (e.g. s3 and glue) and implementing Amazon architected frameworks, serverless solutions as well as improving existing platforms with AWS technologies in Agile delivery methods. What you'll need to More ❯
model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts on the modelling and transformation stage. Collaborate with the Data Product team to ensure the semantic layer serves evolving business and analytical More ❯
model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts on the modelling and transformation stage. Collaborate with the Data Product team to ensure the semantic layer serves evolving business and analytical More ❯
model layer to drive consistency across Looker, Power BI, and other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts on the modelling and transformation stage. Collaborate with the Data Product team to ensure the semantic layer serves evolving business and analytical More ❯
a standard that will allow capabilities such as reporting, detections, searching on that data. These integrations are typically Cloud based and can be via Restful API, AmazonS3 or bespoke methods About the Role As a Senior Engineering Manager , your primary responsibility will be to Lead multiple engineering teams in the design, development, and delivery of high More ❯
of experience developing scalable backend systems Strong proficiency in Python, TypeScript, and cloud platforms (especially AWS) Hands-on experience with tools such as CDK, ECS, Step Functions, Lambda, and S3 Proficiency with GitHub or similar version control systems Ability to work independently and deliver features from design to deployment Strong analytical thinking and problem-solving skills Effective communicator with More ❯
related field. Minimum of 5 years of experience in cybersecurity, with a focus on AWS security and ATO accreditation. Proficiency in AWS services and tools, including IAM, VPC, EC2, S3, and CloudFormation. Strong understanding of security frameworks and compliance standards such as NIST SP 800-53, FedRAMP, and RMF. Excellent analytical and problem-solving skills, with a keen attention More ❯
of working with distributed data systems, and know how to design for performance, reliability, and cost-effectiveness. You have hands-on experience with cloud platforms, specifically AWS services like S3, EMR, Glue, and Athena. You are familiar with containerization (Docker, Kubernetes) and orchestration tools like Airflow. What you will get in return: 70% off HelloFresh or Green Chef boxes More ❯
a 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 ❯
Ability to execute projects and tasks with minimal guidance and supervision TS/SCI clearance with a polygraph Bachelor's degree Nice If You Have: Experience with AWS, including S3 or Lambda, or equivalent cloud service provider s Experience with technical documentation Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets Possession of excellent More ❯
Fort Belvoir, VA (5 days onsite) Duration: Contract Long Term Citizenship: US with Active Top Secret Clearance Top Required Skills AWS Architecture AWS Cloudtrail A couple of these EC2, S3, VPC, IAM, CloudWatch, CloudFormation, and Lambda. Thanks and Regards Murali Sharma More ❯
Sacramento, CA Perform data engineering in support of a migration effort between client's legacy platform (in Microsoft) to Snowflake. Must have: AWS Glue as the ETL Tool AWS S3 Snowflake MQ: At least three (3) years of experience in developing and monitoring data pipelines, ETL/ELT (Extract Transform Load/Extract At least three (3) years of More ❯
development Knowledge of integration patterns and finance modules Hands-on with the Projects module Ability to manage multiple priorities in a fast-paced setting Desirable: Familiarity with AWS (Lambda, S3, API Gateway) Experience with Azure Logic Apps, Power Platform, or DevOps Background in engineering, utilities, or infrastructure sectors More ❯
monitoring systems with Grafana and Loki, maximizing system uptime, and implementing redundancy across all architectural layers. Daily tasks involve configuring and maintaining servers, networks and applications (Kubernetes, Linux, Docker, S3 & Trino), proactively resolving infrastructure bottlenecks, securing data and networks, and collaborating with developers and product owners. Requirements: 4+ years Linux experience Experience building CI/CD with Github/ More ❯
