SENIOR DATA ENGINEER

40.000.000 - 80.000.000


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. As a Senior Data Engineer, you will be a key player in modernizing legacy data infrastructure by leveraging cloud-first tools and best practices to support high-impact transformations. Position Title: Senior Data Engineer Location: Remote - Colombia What you will be doing: The Senior Data Engineer will support a major modernization initiative to transition from a mainframe-based policy administration system to a cloud-based data ecosystem. You will work in a collaborative, client-facing role helping migrate, model, and manage large-scale data in Azure and Snowflake environments. Your responsibilities will include: Data Pipeline Development: Build and manage robust data pipelines using Azure Data Factory (ADF) and Dbt for orchestrating data transformations. Snowflake Expertise: Lead or contribute to Snowflake data modeling and development, enabling scalable and performant cloud data warehousing. Python Development: Use Python to support data manipulation, automation, and integration tasks across data workflows. Legacy System Modernization: Assist in modernizing data systems by supporting the transition away from mainframe architecture. Client-Facing Delivery: Work closely with business stakeholders to ensure data solutions align with evolving requirements and project objectives. Performance Optimization: Solve challenges related to warehouse capacity (e.g., Netezza) by enabling new capabilities in Snowflake and Azure. Requirements & Qualifications To excel in this role, you should possess: 8–10 years of overall experience in data engineering or analytics At least 2 years of hands-on experience with Snowflake, including SQL and data modeling Solid experience with Azure Data Factory (ADF) and the Azure Data Engineering stack Strong proficiency with Dbt for data transformation and modeling workflows Python skills for data engineering tasks and custom logic Experience working with large-scale migration or modernization projects Strong communication skills and experience working in client-facing roles Desired Skills: Experience working in or with insurance industry data systems Understanding of mainframe-to-cloud data migration strategies Familiarity with warehouse limitations (e.g., Netezza) and strategies to overcome storage constraints Knowledge of data governance and security practices in cloud platforms 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. #J-18808-Ljbffr

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