Data Engineer Python (Data Enrichment Focus) (Remote - Latam)

About Jobgether

Jobgether is a pioneering HR Tech startup, operating entirely remotely, and leading the revolution in the world of work. As the largest job search engine designed exclusively for remote workers, we believe that flexibility is the cornerstone of the future of work. Our mission is to empower individuals to discover opportunities that align seamlessly with their unique lifestyles.

On the Jobgether platform, companies can showcase their commitment to flexibility and remote work policies, attracting top-tier talent from across the globe. Our diverse team of individuals is distributed worldwide, embodying the true spirit of remote work. We prioritize accountability, valuing outcomes above all else. At Jobgether, it's not about where you work; it's about what you achieve.

What will you do?

Join our dynamic Content and Data team as a Senior Data Engineer, specializing in data enrichment. In this role, you'll be pivotal in developing and enhancing our data processes to improve the quality and relevance of our job listings. Your expertise in machine learning and natural language processing will help us better identify job seekers’ needs and match them with suitable opportunities.

Key Responsibilities

• Data Enrichment Processes : Design and implement strategies for enriching datasets, enhancing the quality of information available for analysis and decision-making.
• Support ML Workflows : Implement, support and manage ML algorithms for improved data processing and insights, focusing on utilizing existing models rather than building new ones.
• Natural Language Processing (NLP) : Utilize NLP techniques to process and analyze textual data, enabling better understanding and categorization of job listings and candidate profiles.
• Non-Relational Database Management : Develop and maintain non-relational database systems (e.g., MongoDB, NoSQL) to store enriched data efficiently.
• Data Pipeline Management : Build, operate, and optimize data pipelines to ensure seamless data ingestion, processing, and delivery across various systems.
• Collaboration & Documentation : Work closely with product and engineering teams to understand data needs, document workflows, and maintain comprehensive documentation of data enrichment processes.

Requirements

Mandatory Qualifications

Preferred Qualifications

Benefits

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