What are the responsibilities and job description for the Lead Data Engineer position at Largeton Group?
Role: Lead Data Engineer
Visa: GC/USC
Duration: 6 months
Location: Onsite
offices: Baltimore MD, Wilmington DE, Charlotte NC, Irving TX
MOI: Video
Linkedin must
We’re seeking a Lead Data Engineer. As the organization expands its market verticals, a multi-product strategy is taking shape to drive growth through compelling customer engagement. In support of this, teams are delivering products across a range of platforms and technologies.
Our environment spans AWS, Azure, IBM iSeries and zSeries, and OpenShift on-prem as part of a broader hybrid strategy. With a combination of diverse technology stacks and varying regulatory requirements, the landscape is both complex and continuously evolving - supporting a growing, multi-product approach.
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
Visa: GC/USC
Duration: 6 months
Location: Onsite
offices: Baltimore MD, Wilmington DE, Charlotte NC, Irving TX
MOI: Video
Linkedin must
- Top 3 Skills: Strong TypeScript developer, GraphQL, and Data modeling experience (Aurora, Postgres etc.)
We’re seeking a Lead Data Engineer. As the organization expands its market verticals, a multi-product strategy is taking shape to drive growth through compelling customer engagement. In support of this, teams are delivering products across a range of platforms and technologies.
Our environment spans AWS, Azure, IBM iSeries and zSeries, and OpenShift on-prem as part of a broader hybrid strategy. With a combination of diverse technology stacks and varying regulatory requirements, the landscape is both complex and continuously evolving - supporting a growing, multi-product approach.
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.
- 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.
- 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.
