Senior Analytics Data Engineer MS056MD
Confirmed live in the last 24 hours
Coder
Job Description
We are looking for a high-caliber Senior Analytics Data Engineer with real technical depth, strong business abstraction skills, and the intellectual horsepower to turn complex supply chain operations into scalable, decision-ready data products.
You will collaborate in a highly cross-functional environment, working with both technical and non-technical stakeholders to understand processes, uncover data requirements, and translate them into robust data models, orchestration workflows, and analytics-ready structures.
This role also requires strong engineering discipline. You will apply software engineering best practices to data work, ensuring code quality, documentation, maintainability, and long-term operational excellence.
3–4+ years of advanced SQL, including window functions, recursive functions, and full ETL pipeline construction (extract, transform, load)
Hands-on experience with Medallion Architecture. Silver and Gold layer curation and transformation for BI consumption
Experience building and maintaining end-to-end data pipelines: ingestion, transformation, and serving
Familiarity with CI/CD practices applied to data work: test environments, peer review, and controlled production deployments
Experience translating business processes into scalable data models and analytics solutions
Active user of AI productivity tools (Cursor, ChatGPT, Claude, or similar)
Experience working in Agile environments
Bachelor's degree in a technical or analytical field
Advanced English | Based in LATAM
Python for data ingestion and analysis
Experience with dbt or Coalesce.
Experience with Informatica, Alteryx, Knime, or Dataiku.
Experience with Power BI, Tableau, Spotfire, Power Apps, or Power Automate.
Experience with data modeling tools such as MIRO, Erwin, or PowerDesigner.
Experience with API scripting for data extraction.
Experience in regulated industries such as Healthcare, Medical Devices, or Aerospace.
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