Data Engineer Manager

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Lead, design, and enhance data solutions to facilitate Journey Analytics initiatives, emphasizing code quality, reusability, and dependable data platforms.

• Establish the technical direction, manage the evolution of data architectures, and guide a team of data engineers to deliver high-quality, efficient datasets for analytics and reporting applications.

• Mentor a team of data engineers, promoting best practices in coding, architecture, and data engineering standards.

• Define and implement the technical strategy for Journey Analytics data platforms, ensuring they are scalable, maintainable, and high-performing.

• Supervise the maintenance, optimization, and automation of code repositories in GitHub, ensuring adherence to high-quality and consistent development practices.

• Lead the refactoring of legacy codebases to enhance maintainability, scalability, and reusability across various use cases.

• Drive the design and execution of modular, reusable data components to support multiple journeys and minimize duplication.

• Oversee the development and management of automated data pipelines in Databricks, ensuring reliability and scalability for downstream usage.

• Establish and uphold standards for scalable data modeling to accommodate current and future analytics use cases.

• Ensure data quality, governance, performance, and reliability throughout all data pipelines and datasets.

• Collaborate with analytics, product, and engineering stakeholders to align data solutions with business requirements and priorities.

• Proactively identify risks, bottlenecks, and opportunities for improvement, implementing mitigation strategies at both team and platform levels.

• Foster continuous enhancement of data processes, documentation, and engineering practices.

⛳️ Requirements

• Over 7 years of experience in Data Engineering.

• Strong experience with GitHub repositories and version control workflows.

• Hands-on experience in developing and maintaining data pipelines within Databricks.

• Proven track record of refactoring and maintaining legacy codebases.

• Solid understanding of data modeling and the design of reusable components.

• Experience in building scalable data models for analytics and reporting applications.

• Strong emphasis on data quality, performance, and reliability.

• Ability to thrive in cross-functional environments and contribute to continuous improvement initiatives.

• Capacity to work independently and take ownership of projects after receiving high-level guidance, advancing tasks with minimal supervision.

• Experience with Genie (Databricks) is a plus.

🏝️ Benefits

• Access to AI learning paths to keep abreast of the latest technologies.

• Tailored study plans, courses, and additional certifications to enhance your role.

• Access to Udemy Business, offering thousands of courses to enhance your technical and soft skills.

• English lessons to support your professional communication abilities.

• Opportunities to travel for industry conferences and meet clients.

• Career development plans and mentorship programs to help shape your professional journey.

• Special rewards for celebrating birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working arrangements to help you achieve a balanced lifestyle.

• Additional benefits may vary based on your location in LATAM.