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Data Engineer Python (Data Enrichment Focus) (Remote - Latam) Job Opening In WorkFromHome – Now Hiring Jobgether


Job description

Jobgether is a pioneering HR Tech startup operating entirely remotely, 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.

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 develop and enhance 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

  • Design and implement strategies for enriching datasets, enhancing the quality of information available for analysis and decision-making.

  • Implement, support and manage ML algorithms for improved data processing and insights, focusing on utilizing existing models rather than building new ones.

  • Utilize NLP techniques to process and analyze textual data, enabling better understanding and categorization of job listings and candidate profiles.

  • Develop and maintain non-relational database systems (e.g., MongoDB, NoSQL) to store enriched data efficiently.

  • Build, operate and optimize data pipelines to ensure seamless data ingestion, processing, and delivery across various systems.

  • Work closely with product and engineering teams to understand data needs, document workflows, and maintain comprehensive documentation of data enrichment processes.

Mandatory Qualifications

  • Educational background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

  • At least 3 years of relevant experience in data engineering, with a strong focus on data enrichment processes and machine learning applications.

  • Fluency in English and Spanish.

  • Experience with non-relational databases (e.g., MongoDB, NoSQL) and familiarity with relational databases.

  • Practical experience with NLP techniques and frameworks.

  • Proficiency in Python with a solid understanding of data manipulation libraries.

Preferred Qualifications

  • Experience with machine learning algorithms (e.g., scikit-learn, TensorFlow) and understanding their application in data engineering contexts.

  • Experience with cloud services such as AWS for data storage and processing.

  • Strong analytical and troubleshooting abilities to optimize data flows and processes.

  • Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Benefits

  • Remote Work Culture: Enjoy the flexibility of working from anywhere in the world.

  • Innovative Environment: Be part of a forward-thinking team that shapes the future of remote work.

  • Professional Growth: Opportunity to work on cutting-edge technologies and challenging projects that drive real impact.

  • Diverse Team: Collaborate with a global team of passionate professionals.

Location: Bogota, D.C., Capital District, Colombia

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Non-profit Organizations and Primary and Secondary Education

Referrals increase your chances of interviewing at Jobgether by 2x

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Required Skill Profession

Arquitectura Y Diseño De Software


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Data Engineer roles.

7714 Jobs in Colombia
7714
1742 Jobs in Workfromhome
1742
Download Data Engineer Jobs Trends in Workfromhome and Colombia

Are You Looking for Data Engineer Python (Data Enrichment Focus) (Remote Latam) Job?

Great news! is currently hiring and seeking a Data Engineer Python (Data Enrichment Focus) (Remote Latam) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Jobgether adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Engineer Python (Data Enrichment Focus) (Remote Latam) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer Python (Data Enrichment Focus) (Remote Latam)?

Key qualifications for Data Engineer Python (Data Enrichment Focus) (Remote Latam) typically include Arquitectura Y Diseño De Software and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineer Python (Data Enrichment Focus) (Remote Latam) Job Success

Jobgether interview tips for Data Engineer Python (Data Enrichment Focus) (Remote   Latam)

Here are some tips to help you prepare for and ace your Data Engineer Python (Data Enrichment Focus) (Remote Latam) job interview:

Before the Interview:

Research: Learn about the Jobgether's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer Python (Data Enrichment Focus) (Remote Latam) interview at Jobgether, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Jobgether's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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