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You are a Senior Data Engineer who enjoys building reliable, scalable data platforms and enabling data-driven and AI-powered products. You feel comfortable owning data pipelines end to end, working closely with analytics and AI/Data Science teams, and translating complex data problems into robust technical solutions.

You value clean architecture, performance, and data quality, and you’re curious about AI/ML integrations even if you’re not a model builder. You thrive in collaborative environments and can operate with autonomy while guiding best practices across teams.

You Bring to Applaudo the Following Competencies:
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or related field — or equivalent professional experience.
- 5+ years of experience as a Data Engineer, building and operating production-grade data pipelines.
- Strong expertise in SQL, including advanced joins, CTEs, window functions, and performance tuning.
- Experience designing data models and analytical structures (dimensional models, facts, dimensions, SCDs).




- Hands‑on experience building ETL/ELT pipelines using modern orchestration tools (Airflow, Dagster, DBT, or similar).
- Proficiency in Python for data processing and pipeline development (PySpark is a strong plus).
- Solid experience working with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
- Familiarity with data platforms such as Snowflake, Databricks, PostgreSQL, or similar.
- Experience using Git and CI/CD practices as part of a modern data engineering workflow.
- Exposure to supporting AI/Data Science initiatives, such as data enablement for models, embeddings, entity matching, or advanced analytics (nice to have).
- Familiarity with graph databases, embeddings, or AI integrations from a data engineering perspective (nice to have).
- Ability to work independently and collaborate effectively with analysts, ML engineers, and product teams.
- Advanced English proficiency (B2+), able to work w

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at5cb

📌 Senior Data Engineer (Medellín)
🏢 Applaudo
📍 Medellín