Senior Data Engineer (Aws)

Our company : Encora is a global Software and Digital Engineering company that helps business overcome the Software Engineering Talent shortage and provides next-gen services and such as Predictive Analysis, Artificial Intelligence & Machine Learning, IoT, Cloud, and Test Automation. We count with 16 global offices and 25 innovation labs.

Our Software Engineering experts work with leading-edge technology companies to improve their speed to impact.

About the job : This is a unique opportunity to join a newly created team that will build innovative solutions for our patients and providers. We are looking for a senior engineer to participate in the architecting and building of a highly available performant data warehouse/ data lake. The individual will work collaboratively with QA, Product and the Design team to build solutions that are scalable in a dev-ops centric environment.

Essential duties and job responsibilities :

• Build, maintain and implement large scale highly available data warehouse/data lake
• Design and Build Data Models, Data Pipelines
• Lead the development of projects from end-to-end
• Champion best practices, coding standards, and documentation
• Readily shares knowledge across the team
• Research new technologies or methodologies that can improve the architecture, user experience, or development process.
• Specify technical solutions in clear and concise written documentation Translate product requirements and technical designs into well-engineered, low-defect, robust code
• Regularly collaborate with other developers, QA, product owners, and designers to complete projects
• Participate and engage in all Scrum Ceremonies
• Develop high-quality, working code features and bug fixes
• Participate in regular code reviews
• Write automated tests, including comprehensive unit and integration tests
• Interface with team members to troubleshoot, debug, and fix issues in production and non-production environments.
• Engage and mentor other members on the team.

Requirements :

• 5+ years designing and architecting databases
• 5+ years designing data models
• 2+ years Python experience
• 2+ years PySpark experience
• 2+ years PyTest experience
• 2+ years AWS experience
• 2 + years Glue experience
• Experience with ELT/ETL
• Experience with relational databases
• Experience with message queuing, stream processing and highly scalable big data data stores
• Experience building or maintaining large scale highly available data warehouse/data lake
• Ability to lead projects across stacks and blended teams
• Must be data driven, objective and goal oriented
• Effectively communicate and understand project requirements
• Experience working in an Agile environment following SDLC
• Strong sense of ownership and ability to work cross functionally
• English level (B2+ min).

Why you will love working with us :

• 100% WFH and available workplace office space if preferred
• Private medical, dental and life insurance
• Additional vacations per work anniversaries
• Birthday day off
• 3 sick leaves paid per year
• Certification Reimbursement
• Substantial referral bonuses
• Welcome bonus
• Mental Health days off
• Employee Solidarity Association
• A value-based culture where opportunities to learn are endless