TL;DR

Senior Data Engineer (Data Science/ML): Build, maintain, and operate modern data architecture and intricate data processing pipelines with an accent on scalable implementations, data governance, and data security. Focus on designing and deploying large-scale data-centric applications, collaborating with data scientists, and applying data privacy strategies.

Location: Onsite in Brazil, Brasil

Company

%hirify_global% is a leading technology consultancy with 30+ years of experience delivering impactful solutions by solving complex business problems through technology.

What you will do

Develop and operate modern data architecture to meet business objectives and provide end-to-end data solutions.
Build intricate data processing pipelines addressing challenging client problems.
Collaborate with data scientists to design scalable model implementations.
Write clean, iterative code using TDD and continuous delivery practices to deploy and operate data pipelines.
Utilize distributed storage and computing technologies effectively.
Contribute to data governance, security, privacy, and quality initiatives.

Requirements

Experience with Databricks and modern data engineering tools and platforms.
Proven ability to build and deploy large-scale data pipelines and data-centric applications in production.
Hands-on experience with data modeling and various database types (SQL, NoSQL, data lakes).
Experience with GenAI and LLMs.
Advanced English proficiency (C1+ required).
Strong stakeholder management and adaptability in ambiguous situations.

Nice to have

Coaching and mentoring skills to influence technical excellence and accountability.

Culture & Benefits

Flexible career development supported by interactive tools and development programs.
Collaborative and inclusive community focused on continuous learning and growth.