What are the responsibilities and job description for the Sr. Data Engineer with AWS Cloud position at Spar Information Systems?
Role: Sr. Data Engineer with AWS Cloud
Location: Hartford, CT (3 days onsite per week is must)
Duration: 12 Months
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.
Required Technical Skills
- 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 (NoSQL) databases.
- Experience building distributed systems and high-throughput data processing workflows.
Leadership & Soft Skills
- 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.