Lead Data Engineer

TL;DR

Lead Data Engineer: Develops modern data architecture approaches and end-to-end data solutions to meet key business objectives with an accent on data quality and security. Focus on designing intricate data processing pipelines and advising clients on distributed storage and computing technologies.

Location: Brazil

Company

hirify.global is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech.

What you will do

• Lead and manage data engineering projects from inception to completion, ensuring on-time delivery with cross-team collaboration.
• Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• Design, develop, and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• Create, design, and develop intricate data processing pipelines, addressing clients' most challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.
• Lead and advise clients on how to use different distributed storage and computing technologies.

Requirements

• Experience with Databricks.
• Experience creating Big Data architecture, building and operating data pipelines, and maintaining data storage within distributed systems.
• Deep understanding of Gen/AI and LLMs.
• Experience writing clean, high-quality code using the preferred programming language.
• Experience building and deploying large-scale data pipelines and data-centric applications using distributed storage and processing platforms in a production setting.
• English: Advanced is required

Culture & Benefits

• Career development is supported by interactive tools, numerous development programs, and teammates who want to help you grow.
• The company values helping each other be our best and empowers employees in their career journeys.