Data Engineering Senior Analyst

• Full Stack Engineers are able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily.
• They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary.
• Participate in design, definition, planning, development, implementation of projects and evaluate conforming to Software Development Best Practices.
• Perform peer-code reviews.
• Responsible for the deliverable.
• Ask smart questions, take risks, and champion new ideas .
• Business oriented and able to communicate at all levels.
• Ensure adherence to existing strategic direction and architectural strategies.
• Embraces the agile delivery process by releasing business value incrementally into production.
• Transfer key knowledge and code ownership to the team.
• Mentor talent and cultivates new team members.
• Foster environment where business is involved in the project and aware of key decisions, issues, and functionality.

Experience Required :

• 4 + years of React experience
• 4 + years of Javascript /Typescript (Nodejs) experience
• 4 + years of experience with SQL
• STRONG REACT / TYPESCRIPT / SQL
• 3 + years of experience on cloud technologies
• 3 + years being part of Agile teams - Scrum

Experience Desired :

• Experience with version management tools - Git preferred.
• Experience with BDD and TDD development methodologies
• Experience working in an agile
• CI/CD environments; Jenkins experience preferred.
• Knowledge and/or experience with Health care information domains preferred

Education and Training Required :

• bachelors degree (or equivalent) required .

Primary Skills :

• React , JavaScript, Typescript , SQL, Nodejs, GraphQL

Additional Skills:

• AWS, Git, Terraform, Lambda,
• Design and architect the solution independently
• Take ownership and accountability
• Write referenceable & modular code
• Be fluent in particular areas and have proficiency in many areas, Have a passion to learn.
• Have a quality mindset, not just code quality but also to ensure ongoing application/data quality by monitoring data to identify problems before they have business impact
• Take risks and champion new ideas