AWS Data Engineer

Greetings from Jean Martin!!

Position: AWS Data Engineer
Location: Hartford- Connecticut - Hybrid 3 Days Onsite 2 days remote
Insurance client

Notes from the manager -

Application and application integration space using core AWS  services (Glue, Lambda, EKS as compute services and S3, Dynamo and DocumentDB as storage spaces along with Kafka and REST and File as integration patterns) and Python ad programming language
The candidate expertise is needed in  integration patterns for example, REST API and Event based integration. Using Kafka or any other event bus is not sufficient, our expectation is to understand event based integration pattern.
Candidate should be strong on Data Engineering  on application development // application patterns // Integration-- side of data engineering  with Strong AWS experience
Strong on integration patterns- restful based // event based// file based// batch based
Strong on developing applications using Python
AWS core service competency i.e. platform management, security IAM DNS/route 53
Finally, the DevOps world understanding and hands on skill using Platform component with Terraform, and then application CI/CD systems using Jenkin and Git etc.

Core Responsibilities

Design and execute robust RESTful APIs and scalable data engineering pipelines using Python and distributed computing frameworks.
13-15 years experience is must for this role
Lead infrastructure management by provisioning, scaling, and optimizing AWS cloud resources via Terraform (Infrastructure as Code).
Translate high-level concepts into concrete, production-ready Low-Level Designs (LLD) optimized for performance and database efficiency.
Act as the primary technical liaison, collaborating daily with clients and external stakeholders to gather requirements and clarify business needs.
Drive engineering excellence through daily mentorship, technical guidance, and rigorous peer code reviews.