Senior Data Engineer: Scalable Pipelines & Trusted Data

Resilientco; Argentina; Presencial; ARS 103.231.134 - 176.967.658; Jornada completa

Descripción de la vacante

Resilientco is seeking a Senior Data Engineer to design, build, and support core data platform systems that empower fast, data-driven decisions. You will develop scalable pipelines, data models, and governance tooling, collaborating with business partners and the Data Platform team to enable advanced analytics and ML use cases.

We value reliability, hands-on leadership, and a passion for scalable, observable data infrastructure that accelerates product teams.

Formación

• 5–7+ years of data engineering or related field.
• Expertise in SQL and Python.
• Strong experience designing and tuning distributed data processing systems at scale.
• Proven experience designing and implementing complex data models across multiple business domains.
• Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices.
• Ability to lead cross-functional engineering initiatives and influence technical roadmaps.
• Hands-on experience with Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).

Responsabilidades

• 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.

Conocimientos

SQL

Python

Distributed data processing

Data modeling

Version control

CI/CD

DevOps/DataOps

Databricks

Delta Lake

Spark

Unity Catalog

Jobs

Workflows

Kafka

Data catalogs

Herramientas

Databricks

Spark

Delta Lake

Unity Catalog

Kafka

Purview

Collibra

Alation

Descripción del empleo

Resilientco is seeking a Senior Data Engineer to design, build, and support core data platform systems that empower fast, data-driven decisions. You will develop scalable pipelines, data models, and governance tooling, collaborating with business partners and the Data Platform team to enable advanced analytics and ML use cases.

We value reliability, hands-on leadership, and a passion for scalable, observable data infrastructure that accelerates product teams.