Sr. Data Engineer (Ciudad de México)

Sr. Data Engineer (Ciudad de México)

10 ago
|
Portfolium (Acquired by Instructure)
|
Ciudad de México

10 ago

Portfolium (Acquired by Instructure)

Ciudad de México

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

We are looking for a Senior Data Engineer to lead the development and scaling of our core data infrastructure. You won’t just move data; you will be a key contributor in architecting and maintaining our Sources of Truth. Your mission is to transform raw, source data into authoritative, governed data marts by building high-performance pipelines and a robust Semantic Layer that ensures consistency across the entire business.

If you enjoy the challenge of orchestrating complex workflows utilizing Databricks, Fivetran, dbt, and Snowflake—and you take pride in ensuring key metrics are defined once and trusted everywhere—this is the role for you.





What You’ll Do

End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud.
Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency.
High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex data transformations and high-volume workloads.
Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (via dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for all downstream consumers.
Model for Truth: Use dbt to build modular, version-controlled, and tested data models that serve as the definitive foundation for business intelligence.
Data Governance & Quality: Implement automated testing and monitoring to ens

📌 Sr. Data Engineer (Ciudad de México)
🏢 Portfolium (Acquired by Instructure)
📍 Ciudad de México

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