Position: Expert AWS Quicksight
Company: Unicsoft
Experience required: 3y
English level: upper

**Requirements**:

- 3+ hands-on experience with Amazon QuickSight
- 2+ years of experience in AWS data platforms
- 5+ years of experience coding in Python, SQL with solid CS fundamentals including data structure and algorithm design
- 3+ years contributing to production deployments of large backend data processing and analysis systems 
- Knowledge of professional software engineering best practices for the full software
- Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience participating in an Agile software development team, e.g. SCRUM
- Experience designing, documenting, and defending designs for key components in large distributed computing systems
- A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects
- Demonstrated ability to learn new technologies quickly and independently
- Ability to handle multiple competing priorities in a fast-paced environment
- An undergraduate degree in Computer Science or Engineering from a top  
- CS program is required. Masters preferred.

Will be a plus:
- Hands-on implementation experience working with a combination of the following technologies: Spark, Kinesis, DynamoDB. Experience with Spark or Databricks Lakehouse Platform
- Experience in data science and machine learning implementation
- Experience in backend development and deployment
- Experience in CI/CD configuration

**Personal skills**:
- Collaborative, willing to help, talkative, able to clearly express and discuss ideas
- A curious mind and willingness to work with clients in a consultative manner to find areas to improve;
- Upper-Intermediate or Advanced English;
- Good analytical skills;
- Good team player, motivated to develop and solve complex tasks;
- Self-motivated, self-disciplined and result-oriented;
- Strong attention to details and accuracy.