Fully Remote - Data Engineer - Python, Data Analytics
We are an international team of technology experts who help companies leverage the most advanced digital technologies to create value and grow.If you are looking to join a 100% responsible company that values quality and delivering value to clients, we have a place for you!
We are looking for a hands-onData Engineerto own the implementation phase of our Data Governance program.In this role, you will have absolute ownership of the end-to-end data journey: from ingesting raw data out of core systems into a landing zone, through transformation layers, to the final KPIs consumed by business stakeholders.Data Ingestion & Pipelines:Design and build robust ETL/ELT pipelines to ingest data from multiple sources (core banking, mortgage origination, payment processors, and external REST APIs).
Implement and maintain Bronze, Silver, and Gold data layers onAzure.Data Modeling & Transformation:Write clean, maintainable transformation logic usingPython, SQL, and Spark, building KPI definitions directly from DDR specifications.BI & Analytics:Develop and maintain high-performingPower BIdashboards and reports connected to your modeled data.Quality & Governance:Implement basic data quality checks and monitoring at each pipeline stage, ensuring data lineage and proper technical documentation.Experience:3+ years of experience building production-grade ETL/ELT pipelines.Strong proficiency inSQL and Python(Py Spark is a major plus).
Hands-on experience withAzure Data Lake, Azure Data Factory, orMicrosoft Fabric.SolidPower BIskills, including advanced data modeling (DAX, relationships, and calculated measures).
Autonomy & Ownership:Comfortable working directly from a DDR/data dictionary without requiring extensive business-context coaching.Adaptability:You thrive in an evolving environment where requirements, priorities, and tooling decisions might shift during the engagement.Continuous Learner:You don't treat your current skillset as a ceiling and are eager to pick up new tools or frameworks when the project demands it.Location:Remote (Must be legally based in Mexico)
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