Senior Data Engineering Lead(Golang, typescript)

Primary Responsibilities :

Conduct thorough reviews of requirements and systems analysis documents to ensure completeness

Participate in the creation and documentation of designs, adhering to established design patterns and standards

Independently perform coding and testing tasks, while also assisting and mentoring other engineers as needed

Adhere to coding standards and best practices

Address and resolve defects promptly

Promote and write high-quality code, facilitating automation processes as required

Collaborate with the deployment lead and peer developers to complete various project deployment activities

Ensure proper use of source control systems

Deliver technical artifacts for each project

Identify opportunities to fine-tune and optimize applications

Mentor team members on standard tools, processes, automation, and general DevOps practices

AI Expectations : Will utilize AI tools and applications to perform tasks, make decisions and enhance their work and overall cloud migration velocity. Expected to use AI Powered software for data analysis, coding, and overall productivity

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and / or re-assignment to different work locations, change in teams and / or work shifts, policies in regards to flexibility of work benefits and / or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications

Required Qualifications :

Bachelor’s degree in computer science or a related field

Experience working with JavaScript, TypeScript and go lang

Experience working with Python and Terraform

Experience working with Microservices architecture

Extensive experience with CI / CD and DevOps initiatives

Experience working in an Agile environment

Development experience with SDKs and APIs from at least one cloud service provider AWS, GCP, Azure

In-depth knowledge of professional software engineering and best practices for the full SDLC, including coding standards, source control management, build processes, and testing

Expertise in building and maintaining platform-level services on top of Kubernetes

Familiarity with the GitHub toolset, including GitHub Actions

Proficiency in provisioning various infrastructure services in AWS, Azure, and GCP

Proven skilled in provisioning MongoDB Atlas resources using APIs

Proven excellent debugging and troubleshooting skills

Proven exceptional communication and presentation skills

Demonstrated positive attitude and self-motivation