Sr. Data Engineer application development

Location:

Hartford
- Connecticut

3 days office is must

Application and application integration space using core AWS services (Glue, Lambda, EKS as compute services and S3, Dynamo and Document DB 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 Dev Ops world understanding and hands on skill using Platform component with Terraform, and then application CI/CD systems using Jenkin and Git etc.

• 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.

• Production-level Python programming with a deep understanding of advanced software design patterns.
• Hands-on AWS experience managing core cloud services (e.g., S3, EC2, Lambda, RDS, and containerized deployments).
• Proven track record with Infrastructure as Code (IaC) tools, specifically Terraform, for multi-environment resource provisioning.
• Solid database expertise, including schema design, query optimization, and management of both relational (SQL) and non-relational (No
  
  SQL) databases.
• Experience building distributed systems and high-throughput data processing workflows.

• Strong stakeholder management skills, with the ability to bridge the gap between technical teams and non-technical business clients.
• Proven mentorship capability, comfortably running daily standups, guiding junior developers, and setting code quality standards.