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Lean Solutions Group logo
Lean Solutions Group

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.

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 501-1,000

Location

Latin America (LATAM)

Posted

74 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer

Lean Solutions Group

Role Description We are seeking a highly skilled engineer to play a pivotal role in both maintaining our current data infrastructure and spearheading its evolution. This position requires mastery of custom Python development, particularly with Object-Oriented principles, and expert-level SQL skills to manage and troubleshoot our bespoke ETL frameworks and data warehouse. The successful candidate will be responsible for ensuring the stability and reliability of our existing systems by diagnosing and resolving complex issues within a custom codebase. Concurrently, you will be a key technical contributor in our strategic migration to a modern, cloud-based data stack, with platforms like Snowflake and Databricks under evaluation. This role demands a high degree of autonomy and a proactive problem-solving mindset, with the ability to navigate unfamiliar or undocumented code to perform root cause analysis and implement effective solutions. As a senior member of our global team, you will work collaboratively to execute the technical roadmap for our 2026 modernization strategy, contributing to a significant technological transformation while upholding high engineering standards. Qualifications - 3–5 years of recent, hands-on experience in a Data Engineering role. - Backend Development background and previous experience. - Advanced proficiency in Python, with a deep understanding of Object-Oriented Programming and Fundamentals for building and maintaining custom ETL frameworks. - Expert-level SQL skills, including the ability to write, optimize, and troubleshoot complex queries, Stored Procedures, and Functions. - Proven ability to design, build, and maintain robust, scalable custom ETL/ELT pipelines. - Practical experience with Git-based development workflows and working within CI/CD pipelines for continuous integration and deployment. - Basic familiarity with AWS services such as EventBridge and Batch, along with experience running jobs within a Spark environment. - Demonstrated ability to autonomously deconstruct, troubleshoot, and resolve issues within complex and unfamiliar codebases. - Candidate must be comfortable with a role focused 70% on maintenance and troubleshooting of legacy systems and 30% on modernization strategy. - Proven ability to navigate, deconstruct, and implement fixes in undocumented or poorly documented custom codebases. - Experience mentoring other engineers through code reviews, technical guidance, and the promotion of engineering best practices. Requirements - Familiarity with modern data platforms such as Snowflake or Databricks. - Experience with, or a desire to learn, data orchestration and transformation tools like Airflow and dbt. - Previous experience working with legacy systems such as DB2, Denodo, or other data virtualization technologies. - General familiarity with Infrastructure as Code (IaC) principles and tools, for example, Terraform or CloudFormation. Soft Skills - Proactive Problem-Solving: Demonstrating the ability to independently analyze complex, unfamiliar, or poorly documented systems, perform root cause analysis, and implement effective solutions to ensure data pipeline reliability. - Autonomy and Ownership: Taking full ownership of technical tickets and project deliverables, working with a high degree of independence to navigate legacy codebases and drive tasks to completion in alignment with the team's modernization roadmap. - Collaborative Mentorship: Actively engaging with a global team of engineers, providing technical guidance, participating in comprehensive code reviews, and promoting engineering best practices to elevate the team's collective skill set. - Adaptability: Maintaining a positive and forward-looking mindset toward learning new technologies and methodologies, embracing the transition from legacy systems to a modern, cloud-based data stack. - Responsible AI Usage: Understanding how to leverage AI tools as a powerful supplement to enhance engineering knowledge and productivity, rather than as a replacement for fundamental problem-solving skills. Benefits - 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.

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