Data Engineer - Hybrid (Mexico City) | Databricks & Pipelines
Summary
Designs and maintains scalable data pipelines using Databricks, SQL, and Python to ensure reliable data availability for cross-functional teams.
Oliver Wyman is seeking a data engineer to design, build, and maintain scalable data pipelines and infrastructure in a hybrid role based in Mexico City. You will work with cross-functional teams to ensure data availability, reliability, and performance using Databricks, SQL, and Python.
Ideal candidates bring 2+ years in data engineering or related roles, hands-on Databricks experience, and familiarity with ETL tools (SSIS, ADF, Alteryx, Knime) as well as cloud platforms and big data