Lead Data Engineer

The Lead Data Engineer will have delivered solutions which are mixed on-prem / AWS hybrid and have demonstrated a drive toward building cloud-native solutions. This is a hands-on engineering role which provides an opportunity to solve complex business, data, and technical challenges in both on-premises and cloud-based operations. The person in this role will be responsible for driving execution through iterative development, software craft and automation wherever possible.
 

Qualifications

• Bachelor's or master's in computer science, engineering, or related field.
• Minimum of 7 years of experience in software development leading large scale initiatives in collaboration with cross functional teams.
• Strong proficiency in GraphQL, including schema design, query optimization, and performance tuning.
• Expertise in TypeScript and its application in both front-end and back-end development.
• Proficiency with data solutions using RDBMS like Aurora and Postgres and in-memory data stores like Redis and memory dB, including data modeling, performance optimization, and data migration.
• Experience with BPMN workflow solutions such as Camunda, including workflow design, implementation, and management.
• Familiarity with other relevant technologies such as Node.js, React, or similar frameworks.
• Experience with CI/CD tools like Jenkins and version control systems especially GitHub.
• Previous experience with designing customer domain for large enterprise and domain driven design is a big plus.
• Previous experience in leadership and mentorship will be an added advantage.

Soft Skills

• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple tasks and projects simultaneously.
• Detail-oriented with a strong focus on code quality and maintainability.

Skill/Experience/Education

• Mandatory Skills: Strong Typescript development skills along with GraphQL and Data Modeling Experience.
• Desired Skills: AWS cloud native tech stack RDBMS - Aurora, Postgres In-memory DBs: Memory DB or Redis DevOps, CI/CD pipeline Kafka