Data Engineer Jobs
10Pearls - LATAM

10Pearls - LATAM

Data Engineer & AI Solutions Engineer

Sigourney

3 weeks ago

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Job Description

About us

We are 10Pearls, an award-winning digital development company, helping businesses with product design, development, and technology acceleration. We have a culture of innovation, uniquely designed to help companies transform, digitalize and scale by levering digital technology. We offer an awesome work environment, challenging projects with US customers, great benefits, and much more.

About the role

We're looking for an accomplished and motivated Data Engineer & AI Solutions Engineer to deliver data pipelines end to end, including data ingestion, curation, modeling, visualizations and AI solutions/use cases. This role will ensure proper data architecture, technology stack and processes to support data, integrations and AI initiatives at scale.

Key Responsibilities:

  • Maintain and extend data pipeline for all data initiatives

  • Support data initiatives by developing data models and visualizations

  • Drive design, development, solution engineering and deployment of AI solutions using best practices

  • Work collaboratively and transparently with stakeholders to ensure data quality and relevance, and data/AI solutions meet business objectives

  • Make recommendations on changes to source data to more efficiently support business use cases

  • Support the integration and consumption of data into other platforms and systems

Qualifications:

  • 5 years of professional designing and implementing data solutions

  • 3 years experience delivering solutions using LLM, machine learning, and using other AI technologies to deliver customer facing solutions

  • Deep understanding of methods to transform source data into refined data catalogs for immediate and seamless consumption in presentation layer

  • 5 years creating scalable data pipelines all the way to the consumption from customers and internal business partners

  • Current on latest data engineering and AI technologies and best practices

  • Experience analyzing both quantitative and qualitative data and understanding best practices for visualization

  • Experience with SQL and similar programming languages

  • Strong passion for data quality and data governance

Key Technical Skills:

  • AI: Large language models (LLM), AI agents, LangChain, FilamentPHP, Laravel Nova, n8n

  • LLM: RAG, Embed, Ranking, etc.

  • Languages: PHP/Laravel, Python, Javascript, SQL, Ruby on Rails

  • Databases: Postgress, Clickhouse, etc.

  • Infrastructure: AWS experience with EC2, VPC, S3, etc.

  • Messaging: AMQP (RabbitMQ, LavinMQ, etc.)