Data Engineer: End-to-End Pipelines & Data Quality

PartnerOne; Argentina; Presencial; ARS 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

PartnerOne is seeking a Data Engineer to design, build, and maintain robust data pipelines powering analytics, compliance, and reporting for the Mortgage Cadence Platform. You will work on end-to-end data workflows, emphasizing SQL, ETL, and data quality, with exposure to semantic models and reporting.

Responsibilities include developing pipelines with Microsoft Fabric, validating data quality, and optimizing data structures.

Formación

• Advanced SQL with optimization, window functions, and complex transformations.
• Proficient with Microsoft Fabric – Dataflow Gen2, Notebooks, Lakehouse.
• Power Query/M for data shaping, merging and error handling.
• Python or similar scripting for data manipulation and automation.
• Git/version control for collaboration on code and tracking changes.
• Data quality and testing frameworks – unit tests and validation rules.

Responsabilidades

• Design and build ETL pipelines using Microsoft Fabric or equivalent tools.
• Write optimized SQL queries for data ingestion and transformation.
• Apply data quality rules at each pipeline stage and monitor validation.
• Implement incremental loads and manage refresh schedules for performance.
• Escalate complex transformation patterns to Lead for architectural decisions.
• Collaborate to define semantic models and data lineage.

Conocimientos

Advanced SQL

Microsoft Fabric

Power Query

Python

Git

Data quality

Dimensional modeling

Herramientas

dbt

Talend

Informatica

Descripción del empleo

PartnerOne is seeking a Data Engineer to design, build, and maintain robust data pipelines powering analytics, compliance, and reporting for the Mortgage Cadence Platform. You will work on end-to-end data workflows, emphasizing SQL, ETL, and data quality, with exposure to semantic models and reporting.

Responsibilities include developing pipelines with Microsoft Fabric, validating data quality, and optimizing data structures.