We are seeking a Data Engineer with a passion for data architecture and scalable data solutions to support high-impact use cases across consulting, AI/ML services, and web applications. This role involves identifying, ingesting, and engineering data from diverse sources to make it accessible and valuable for a wide range of stakeholders. The ideal candidate is a self-driven engineer comfortable working with modern cloud-based technologies to implement and manage end-to-end data pipelines.
Key Responsibilities
Hard Skills
Bachelor’s degree in Computer Science or a related field
8+ years of experience in Data Engineering roles
4+ years of experience with RDBMS (e.g., Postgres, MySQL, Oracle)
2+ years of experience building data solutions on Azure or other data/analytics platforms
3+ years of experience architecting database topologies across various formats
2+ years of experience working with complex schemas and managing data views
Strong knowledge and hands-on experience with data quality and fitness-for-purpose processes
Intermediate knowledge of when and why to use non-SQL, columnar, or data sharding solutions
Intermediate knowledge and experience in benchmarking and performance tuning data solutions
Intermediate knowledge and hands-on experience writing high-performance data queries and database design
Basic working knowledge of at least one NoSQL database
Basic understanding of RESTful API design
Soft Skills
Strong problem-solving skills with the ability to craft innovative solutions
Excellent written and verbal communication skills in English (other languages are a plus)
Strong interpersonal skills, with the ability to effectively collaborate with diverse stakeholders and influence decision-making
Ability to translate complex technical details to varied audiences
Willingness to actively engage in geographically dispersed teams
Ability to work full-time in both office and remote environments, and to remain focused during extended screen time
Must be aligned with and promote the company’s Core Values as defined in the Code of Conduct, and foster an inclusive environment across all organizational levels
Nivel mínimo de educación: Universitario (Graduado)
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