Offer summary

Qualifications:

Advanced proficiency in Python for data processing., Experience with Snowflake for data extraction and analytics development., Strong background in data analytics and data science with practical knowledge., Experience developing AI-enabled solutions and working with AI agents like LangGraph and CrewAI..

Key responsabilities:

Develop and implement AI-enabled solutions to enhance data analytics capabilities.

Analyze contracts and proposals to inform business strategy.

Integrate data from multiple repositories, including Salesforce and SharePoint.

Drive integration with Microsoft services to optimize business functions.

Job description

Description

Company Overview:

Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.

We are seeking a highly skilled Senior Data Engineer to develop and implement AI-driven solutions, enhancing the company's data strategy through advanced analytics, integration, and knowledge graphs. Your role will focus on improving platform interactions, analyzing contracts, and driving data-driven initiatives within the organization.

Position Title: Data Engineering Sr. Engineer

Location: Remote - Colombia

What you will be doing:

We are looking for a highly skilled and experienced Senior Data Engineer. You will play a pivotal role in developing and implementing AI-enabled solutions that seamlessly integrate into business processes using tools such as Python and Snowflake. Your expertise will be crucial in enhancing the company's data strategy through advanced data analytics, efficient integration of data from various repositories, and creating intricate knowledge graphs. By improving Salesforce and SharePoint interactions and promoting collaborative solutions across multiple platforms, you will contribute significantly to the organization's data-driven initiatives. You will also be instrumental in analyzing contracts, recognizing patterns, and facilitating knowledge transfer within the organization. This role is a key component of the data engineering team, emphasizing innovation and the strategic advancement of data infrastructure. Your responsibilities include:

Develop and implement AI-enabled solutions to enhance data analytics capabilities, utilizing Python for data processing and Snowflake for extracting data and building analytics.
Create and integrate AI solutions and knowledge structures into business processes, with a focus on knowledge graphs.
Work with AI agents like LangGraph, CrewAI to enhance application capabilities.
Analyze contracts and proposals, identifying similarities and differences to inform business strategy.
Integrate data from multiple repositories, including Salesforce and SharePoint, ensuring seamless data flow and action triggers.
Utilize a data science skill set to establish connections between solutions and foster collaborative approaches across platforms.
Drive integration with Microsoft services to optimize business functions.
Integrate structured and unstructured data from systems such as Salesforce,
SharePoint, and Snowflake.
Use data science techniques (clustering, semantic search, similarity analysis) to compare proposals, contracts, or statements of work (SOWs).
Automate document generation using AI agents, including creating formatted outputs (e.g., Word, PDF, PowerPoint).
Develop integrations using APIs across systems.

Requirements & Qualifications

To excel in this role, you should possess:

Advanced proficiency in Python for data processing
Advanced experience with Snowflake, including data extraction and analytics development
Strong background in data analytics and data science with practical working knowledge
Experience developing and implementing AI-enabled solutions in data science spaces
Experience working with AI agents such as LangGraph and CrewAI
Advanced proficiency in integrating data from various APIs, including Salesforce
Solid understanding of semantic search, data clustering, and similarity analysis.
Ability to trigger actions in software platforms like Salesforce and push data to repositories such as SharePoint
Proven ability to work independently and self-direct in a low-supervision, fast-paced environment.

Nice to have

Understanding of ETL processes and tools
Certification in data science or related fields
Excellent communication skills for cross-functional collaboration
Knowledge of additional AI technologies and platforms.
Familiarity with Microsoft Syntex and Copilot for document processing and metadata enrichment.
Experience in Power BI or similar reporting/visualization tools.
Exposure to prompt engineering or transforming unstructured data into structured formats.
Experience working in agile or cross-functional teams

Why you will love Lean Tech:

Join a powerful tech workforce and help us change the world through technology
Professional development opportunities with international customers
Collaborative work environment
Career path and mentorship programs that will lead to new levels.

Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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