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Senior Data Engineer- Remote-LATAM

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field., 5+ years of experience in data engineering., 2+ years of experience in Machine Learning., Proficiency with SQL and NoSQL databases..

Key responsabilities:

  • Design and implement distributed data processing systems.
  • Lead R&D initiatives in machine learning and NLP.
Puzzle logo
Puzzle Human Resources, Staffing & Recruiting Scaleup https://puzzle.tech/
51 - 200 Employees
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Job description

Type of Employment: Full-Time
Company: Puzzle
Location: Remote in Latin America
70% Data Engineering 30% ML Engineering


About Puzzle:

At Puzzle, we deliver innovative technology solutions to businesses across various industries. Our team of passionate professionals is committed to helping our clients achieve their business goals by leveraging the power of technology.

About the Role:

We seek a highly skilled Senior Data Engineer to join our team. In this pivotal role, you will design and implement real-time distributed data processing systems to analyze public data and detect emerging threats. Your expertise will drive research and development in areas like information extraction, multilingual NLP, automated summarization, graph network analysis, computer vision, and Large Language Models (LLMs).

Key Responsibilities:

  • Design and implement distributed data processing systems for real-time public data analysis and threat detection.
  • Lead R&D initiatives in machine learning, NLP, computer vision, and data analytics.
  • Oversee the creation and annotation of custom datasets for classification, unsupervised pre-training, and tagging tasks.
  • Optimize ETL processes for diverse data formats, including social media, news, and web sources.
  • Develop and manage database architectures for real-time streaming analytics with a focus on performance and scalability.
  • Drive automation, continuous integration, deployment, and performance optimization while ensuring security compliance.
  • Design, implement, and optimize robust REST APIs; ensure data integrity through test suites and instrumentation.
  • Manage development initiatives, feature rollouts, and strategic trade-offs (e.g., cost vs. performance).
  • Apply machine learning performance evaluation techniques to address system limitations.

Required Qualifications:

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience in data engineering and building data platforms.
  • 2+ years of experience in Machine Learning or a closely related field.
  • Proven expertise in deploying cloud-based products and optimizing processing pipelines for streaming analytics.
  • Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, ElasticSearch, Redis, Druid).
  • Expertise in big data processing systems (e.g., Apache Spark, Flink, Beam), Kafka, and Airflow.
  • Strong Python programming skills and experience with build automation and CI/CD tools.
  • Exceptional project management skills with a demonstrated ability to lead teams and deliver complex projects.

Desirable Skills:

  • Experience with AWS and other cloud services.
  • Familiarity with MLOps frameworks like Kubeflow or MLFlow.
  • Knowledge of generative models and AI/ML deployments.
  • Published research or contributions to open-source machine learning projects.
  • Proven success in online competitions like Kaggle.

Join Us and Enjoy These Perks!

  • Competitive Salary: Earn a USD salary that matches your skills and experience.
  • Paid Time Off: We value work-life balance, offering PTO so you can recharge.
  • Birthday Off
  • Health Insurance Subsidy: Your health matters, and we help with a subsidy to cover your care.
  • Salary Reviews every year!
  • Paid Training and Certifications

So what are you waiting for? Put your puzzle-solving skills to the test and join our team today!

Interested in knowing more about our company? Follow us on social media!

LinkedIn: Puzzle
Instagram: @puzzle.tech_

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Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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