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Blend, Bogota, D.C., Capital District, Colombia Data Engineer Lead Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world‑class people and data‑driven strategy. We believe that the power of people and AI can create meaningful impact for your world, creating more fulfilling work and projects for our people and clients. For more information, visit . Job Description Build and optimize data pipelines from multiple source systems into Azure Databricks, ensuring accuracy, scalability, and alignment with enterprise architecture standards. This role involves designing, testing, and documenting ETL/ELT workflows that support marketing and analytics use cases, collaborating closely with data architects, engineers, and business stakeholders. Hands‑on experience is required with Python or .NET, SQL, and Azure cloud data environments, and the ability to work in fast‑paced, cross‑functional teams. Responsibilities Develop and test data pipelines from MDW, DRINCC, and SFMC into Azure Databricks, following approved architectural patterns (.NET or Python). Implement ETL/ELT processes to support owner, prospect, and promo history data flows. Collaborate with solution and data architects to design file and table structures aligned with medallion architecture standards. Modify and optimize existing SQL scripts for profile generation, ensuring accuracy and performance. Contribute to source‑to‑target mappings, data flow diagrams, test cases, and monitoring setup. Work closely with Business Analysts and Engineering teams to operationalize data requirements and support production releases. Ensure all development follows data governance, security, and quality best practices. Qualifications 5+ years of experience in Data Engineering or related roles. Proficiency in Python or .NET for building and automating data workflows. Strong SQL skills for data validation, optimization, and transformation. Hands‑on experience with Azure data services and Databricks. Understanding of ETL/ELT principles, medallion architecture, and data modeling. Familiarity with version control tools like Git and CI/CD workflows. Excellent communication and collaboration skills to work effectively with cross‑functional teams. Strong analytical mindset with attention to detail and data quality. Additional Information Location: Bogota, D.C., Capital District, Colombia. Remote options available for Argentina; office presence in Montevideo or Colombia. Our Perks and Benefits Learning Opportunities Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses. English lessons to support professional communication.
