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

Related keywords: remote job listingsdata entry remote jobremote job data entry

Introduction

Jobgether is a pioneering HR Tech startup that operates entirely remotely, aiming to transform the world of work. They are recognized for being the largest job search engine designed specifically for remote workers, emphasizing the value of flexibility in the workplace. The company targets individuals seeking to find job opportunities that align with their unique lifestyles and preferences for remote work.

Company Culture and Mission

At Jobgether, the mission is clear – to empower individuals to discover suitable opportunities while promoting flexible work policies. The organization values accountability and prioritizes results, emphasizing the importance of what employees achieve over their physical location. Their team is diverse, distributed globally, and they embrace a modern approach to working that focuses on outcomes.

Job Overview

Jobgether is looking for a Senior Data Engineer who specializes in data enrichment. This role is crucial within their Content and Data team, where the engineer will be tasked with enhancing data processes and improving the quality of job listings available on the platform. By leveraging expertise in machine learning and natural language processing (NLP), the data engineer will help identify the needs of job seekers and match them with relevant opportunities.

Key Responsibilities

Here are the primary responsibilities associated with the Senior Data Engineer position:

• Data Enrichment Processes: Design and implement strategies for enriching datasets to enhance the quality of information used for analysis and decision-making.

• Support Machine Learning Workflows: Manage and support existing ML algorithms, focusing on improving data processing and insights derived from them instead of developing new models.

• Natural Language Processing: Use NLP techniques to process and analyze textual data, which will contribute towards an improved understanding and categorization of job listings and candidate profiles.

• Non-Relational Database Management: Develop and maintain non-relational database systems like MongoDB or NoSQL to efficiently store enriched data.

• Data Pipeline Management: Build and optimize data pipelines to facilitate robust data ingestion, processing, and delivery across various systems.

• Collaboration & Documentation: Work collaboratively with product and engineering teams. This includes understanding their data needs, documenting workflows, and maintaining detailed documentation of data enrichment processes.

Required Qualifications

Candidates seeking this position should possess the following qualifications:

• Educational Background: A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.

  ---

• Experience: At least 3 years of relevant experience in data engineering, specifically focused on data enrichment processes and machine learning applications.

• Language Skills: Fluency in English and Spanish is mandatory.

• Database Knowledge: Familiarity with non-relational databases such as MongoDB or NoSQL, alongside an understanding of relational databases.

• Natural Language Processing: Practical experience with NLP techniques and related frameworks is essential.

• Programming Proficiency: Candidates must exhibit proficiency in Python and have a strong foundation in data manipulation libraries.

Preferred Qualifications

While not mandatory, the following qualifications would be advantageous:

• Machine Learning Experience: Familiarity with machine learning algorithms such as scikit-learn or TensorFlow and their application in data engineering contexts.

• Cloud Platforms: Experience with cloud services like AWS for both data storage and processing.

• Problem-Solving Skills: Strong analytical abilities to troubleshoot and optimize data flows and processes.

• Communication Skills: Excellent verbal and written communication skills are critical, particularly in explaining technical concepts to non-technical stakeholders.

Benefits of Working at Jobgether

Jobgether offers several appealing benefits to their employees:

• Remote Work Culture: Employees can work from anywhere, enjoying the advantages of a flexible work environment.

• Innovative Environment: Work within a forward-thinking team that shapes the future of remote work and contributes to significant projects.

• Professional Growth: Opportunity to engage with cutting-edge technologies, while facing challenges that deliver real impact and promote professional development.

• Diverse Team: Collaborate with a global team of passionate professionals from various backgrounds, enhancing the learning and working experience.

Conclusion

This role at Jobgether is targeted towards individuals with robust programming backgrounds, particularly in Python, and skills in machine learning and data processing. With a commitment to enhancing data quality and relevance for job seekers, this position offers a unique opportunity to contribute to a growing HR Tech startup that prioritizes remote work and flexibility.

This job offer was originally published on himalayas.app