Tech Stack
Amazon RedshiftCloudETLPythonSQL
About the role
- Deliver engineering work on client-facing services and consulting projects, contributing directly to outcomes related to data pipelines, platform deployments, observability, and infrastructure modernization
- Build internal tools, frameworks, and automations that reduce delivery friction and accelerate the onboarding, monitoring, and support of client environments
- Collaborate with Platform Services and Engineering team to develop and evolve delivery playbooks, onboarding guides, and platform best practices
- Evaluate and implement new technologies that enhance platform resiliency, delivery velocity, and engineering consistency
- Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy partnering with modern data engineering software providers
Requirements
- 3-5 years of experience in data engineering, platform engineering, DevOps, or a similar technical discipline
- Bachelor’s degree in computer science, engineering, mathematics, or equivalent experience
- Consulting experience a plus
- Experience working directly with clients or technical stakeholders
- Proficiency in scripting and automation (SQL, Python, or similar)
- Experience with modern cloud data platforms (e.g., Snowflake, Databricks, Redshift)
- Familiarity with alerting, monitoring, and CI/CD best practices
- Experience using cloud-native ETL/ELT and orchestration tools
- Strong written and verbal communication skills
- Comfortable working in evolving, ambiguous environments with a high degree of ownership
- A detail-oriented, process-driven mindset with a commitment to quality and operational improvement