Data Engineering Manager (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineering Manager (Databricks): Leading, designing, and scaling data solutions for Journey Analytics initiatives with an accent on code quality, reusability, and reliable data platforms. Focus on defining technical strategy, mentoring a team of data engineers, and driving the evolution of scalable data architectures.
Location: Santiago, Chile (Hybrid)
Company
is a premier AI services provider that co-creates meaningful impact for clients by aligning human expertise with data science and artificial intelligence.
What you will do
- Lead and mentor a team of data engineers, fostering best practices in coding and architecture.
- Define and drive the technical strategy for Journey Analytics data platforms to ensure scalability and performance.
- Oversee the maintenance, optimization, and automation of code repositories in GitHub.
- Guide the refactoring of legacy codebases to improve maintainability and reusability.
- Drive the design and implementation of modular, reusable data components.
- Ensure data quality, governance, and reliability across all automated pipelines in Databricks.
Requirements
- 7+ years of experience in Data Engineering.
- Strong experience with GitHub repositories and version control workflows.
- Hands-on experience developing and maintaining data pipelines in Databricks.
- Proven experience refactoring and maintaining legacy codebases.
- Strong understanding of data modeling and reusable component design.
- Ability to work in cross-functional environments and drive initiatives independently.
Nice to have
- Experience using Genie (Databricks).
- Certifications in AWS, Databricks, or Snowflake.
Culture & Benefits
- Access to AI learning paths and Udemy Business.
- Support for professional development through study plans and certifications.
- English lessons to support professional communication.
- Travel opportunities for industry conferences and client meetings.
- Flexible working options to support work-life balance.
- Company-provided equipment and special day rewards.
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