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Coderio Linkedin · Posted 2mo ago

Senior Analytics Data Engineer MS056MD

Monterrey

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About Coderio
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that creates real impact.

🌍 More information: http://coderio.com

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.

What You Can Expect (Responsibilities)
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.

Requirements
4+ years of experience in Supply Chain and Operations Analytics

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

Nice to Have
Snowflake ecosystem (Snowsight, VS Code, dbt or Coalesce)

Python for data ingestion and analysis

Experience with ERP or planning systems such as SAP, JDE, QAD, SAP APO, or Blue Yonder.

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.

Nice to Have
Strong business understanding and consultative mindset.

Ability to work closely with SMEs and business users.

Clear communication with technical and non-technical stakeholders.

High ownership and accountability.

Strong problem-solving skills.

Ability to stay organized and effective in fast-paced environments.

Proactive and collaborative attitude.

Benefits
100% remote

Long-term commitment with autonomy and impact

Strategic, high-visibility role within a modern engineering culture

Collaborative international team and strong technical leadership

Career development and growth opportunities within Coderio

Why Join Coderio?
At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaboration, and fair compensation. We provide an inclusive and challenging environment with real opportunities for growth. If building impactful solutions motivates you, we’re waiting for you.

Apply now.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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