Summary
As a Senior Data Engineer, you will design, build, and support the core systems that power our data platform to enable fast, data-driven decisions. You will create scalable data pipelines, self-service tools, and governance solutions that ensure trusted, accessible data across the organization. Working closely with business partners and the Data Platform team, you will support advanced analytics and machine learning use cases while sharing knowledge to elevate the team.
This role emphasizes scalable pipeline development, distributed data processing, strong data modeling, and engineering best practices. Success requires curiosity, experimentation, and a commitment to operational reliability and team mentorship.
Responsibilities
- Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, files, and event streams.
- Lead technical design reviews and translate complex business needs into enterprise-grade data solutions.
- Develop and optimize advanced data models (dimensional, data vault, domain-driven, canonical) to support analytics, BI,



and productized datasets.
- Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code.
- Optimize complex distributed workloads using SQL, Python; mentor others on tuning and scalable design patterns.
- Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption.
- Perform root-cause analysis for major data incidents, lead long-term remediation, and drive operational reliability improvements.
- Provide technical mentorship, guide code reviews, and help shape engineering capability maturity.
- Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies.
- Perform other duties as assigned.

Requirements
- 5 to 7+ years of experience in data engineering or a related technical field.
- Experti

📌 Sr. Data Engineer (Argentina)
🏢 Resilientco
📍 Argentina