2 месяца назад
Data Engineer Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer Manager (Databricks/AWS): Lead, design, and scale data solutions for Journey Analytics initiatives with an accent on code quality, reusable data components, and reliable data platforms. Focus on setting technical direction, evolving data architectures, and delivering high-quality, performant datasets through hands-on engineering and team leadership.
Company
is an AI services provider co-creating impact through data science, AI, technology, and people.
What you will do
- Lead and mentor a team of data engineers while contributing hands-on to development and engineering best practices.
- Define and drive the technical strategy for Journey Analytics data platforms, including scalable design and implementation.
- Maintain, optimize, and automate GitHub code repositories; refactor legacy codebases to improve maintainability and reusability.
- Design and build modular, reusable data components and scalable data models for analytics and reporting use cases.
- Develop and manage automated data pipelines in Databricks, ensuring reliability and scalability for downstream consumption.
- Own data quality, governance, performance, and reliability across pipelines and datasets; collaborate with analytics, product, and engineering stakeholders.
Requirements
- 7+ years of experience in Data Engineering.
- Strong experience with GitHub and version control workflows.
- Hands-on experience building and maintaining data pipelines in Databricks.
- Proven experience refactoring and maintaining legacy codebases.
- Strong understanding of data modeling and reusable component design for analytics/reporting.
- Ability to lead cross-functionally and take ownership of initiatives with minimal supervision.
Nice to have
- Experience using Genie (Databricks).
Culture & Benefits
- Access to AI learning paths, study plans, courses, and role-tailored certifications.
- Udemy Business access for technical and soft-skill development.
- English lessons to support professional communication.
- Travel opportunities to attend industry conferences and meet clients.
- Flexible working options and company-provided equipment.
- Benefits may vary by location in LATAM; additional details available via recruiters.
Hiring process
- Recruiter screen followed by interviews to assess technical leadership and hands-on data engineering experience.
Location: Bogotá, Colombia
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