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Amazon TM1 Application Engineer GME Finance 
United States, Washington, Seattle 
851460514

05.08.2024
DESCRIPTION


Key job responsibilities
- Deliver reliable, scalable, and efficient business solutions by supporting all phases of the software development life cycle (SDLC), including requirements gathering, modeling & design, development, testing, deployment, integration, and documentation.- Support the development of standard and ad hoc reports, tools and templates.- Operations support including dimension management, metadata design/maintenance, ETL development, and data validation processes.

BASIC QUALIFICATIONS

- Bachelor’s Degree (or foreign equivalent) in Computer Science, Software Engineering or closely related field.
- 4+ years of Cognos TM1 work experience in developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting.
- 2+ years of experience writing high-performance object-oriented Python code in a Linux environment.
- Demonstrated experience working with users in a support and development capacity.
- Quick learner with a positive attitude, professional demeanor, and strong analytical and troubleshooting skills.
- Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams.


PREFERRED QUALIFICATIONS

- Experience developing hybrid business solutions that are flexible, scalable and leverage wide range of technologies.
- Knowledge of software development cycle, Git version control, data structures, complexity analysis, unit test and integration tests is a strong plus.
- Experience in providing risk assessment for new functionality and enhancements, and identify process improvement opportunities to drive innovation.
- Relevant corporate finance experience exhibiting knowledge of financial planning functions and related processes.
- Experience advocating and proliferating best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation.
- Familiarity with AWS tools, such as: S3, SQS, SNS, RedShift, CloudFormation, CodeCommit, CodeDeploy, IAM Roles.
- Knowledge of SQL, NoSQL and general DW concepts.
- Familiarity and development experience with web services technologies (e.g. REST API, JSON, YAML, XML).