Resumen del rol

Data Engineer

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Data Pipeline Development:

  • Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)
  • Write optimized SQL queries and transformations for data ingestion from designated source systems
  • Apply data quality rules and validation logic at each pipeline stage
  • Implement incremental loads and manage refresh schedules for performance
  • Escalate to Lead for architectural decisions or complex transformation patterns

Data Quality & Validation:

  • Define and implement data quality checks at ingestion, transformation, and output stages
  • Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations
  • Identify, document, and escalate data quality issues with root cause analysis
  • Maintain data quality dashboards and SLA monitoring
  • Support UAT for new data sources or transformation logic

Transformation & Modeling:

  • Build and maintain data transformations using Power Query, SQL, or Python as appropriate
  • Develop dimensional models and define aggregation logic aligned with analytics requirements
  • Optimize data structures for performance and maintainability
  • Document transformation logic, lineage, and assumptions per team standards
  • Collaborate with Lead to define semantic

Operational Support:

  • Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering
  • Respond to data discrepancy reports from business users and analysts
  • Maintain documentation of data sources, data dictionaries, and transformation specifications
  • Support capacity planning and optimization of Fabric environments and pipelines models and calculated metrics

RequirementsTechnical

  • Advanced SQL - query optimization, window functions, performance tuning, debugging complex transformations
  • Proficient with Microsoft Fabric - (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica)
  • Strong understanding of relational database design and dimensional modeling
  • Power Query / M - complex data shaping, merging, error handling, and transformation logic
  • Python or similar scripting language - data manipulation, pipeline automation
  • Git/version control basics - able to collaborate on code and track changes
  • Data quality and testing frameworks - unit tests, assertions, validation rules

Non-Technical

  • Ability to interpret business requirements and design efficient data solutions
  • Data governance mindset - understands data lineage, documentation, and quality standards
  • Proactive about identifying edge cases and potential data issues
  • Mortgage/lending domain familiarity preferred; willingness to learn domain required
  • Works effectively within defined standards and escalates architectural questions to Lead
  • Able to balance speed with quality; advocates for technical excellence
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FocoData EngineeringÁrea del rol
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StackPython, SQLSkills principales
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