Resumen del rol

Senior Data Engineer- Bilingual

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Key Responsibilities

  • Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems
  • Translate business requirements into scalable data structures and integration solutions
  • Develop and maintain source-to-target mappings and transformation logic
  • Own data solutions end-to-end from requirements gathering through production delivery
  • Work directly with business and technical stakeholders to define data requirements and business rules
  • Support data warehouse and data platform development and modernization initiatives
  • Perform data profiling, validation, reconciliation, and root cause analysis
  • Build and optimize complex SQL queries and stored procedures for performance and accuracy
  • Support data integration pipelines and data transformation processes
  • Ensure adherence to data quality, governance, and documentation standards
  • Collaborate across engineering, analytics, and business teams in both Agile and structured environments

Required Skills & Experience

  • Strong hands-on experience in data modeling (Kimball, dimensional modeling, and 3NF)
  • ERwin Data Modeler ,ER/Studio (preferred or equivalent data modeling tools)
  • Experience creating and maintaining logical data models, physical data models, data dictionaries and metadata definitions
  • Experience designing solutions for both OLTP and OLAP environments
  • Strong experience in source-to-target mapping and data transformation logic
  • Advanced SQL expertise (T-SQL or PL/SQL) including stored procedures, query tuning, performance optimization
  • Experience working with Enterprise Data Warehouses (EDW) or data platforms
  • Strong understanding of data integration and data movement concepts (ETL/ELT)
  • Ability to work directly with business stakeholders to gather and clarify requirements
  • Experience with data governance, metadata, and data cataloging tools
  • Strong analytical, troubleshooting, and problem-solving skills
  • Demonstrated ability to own deliverables independently and manage execution

Preferred Skills

  • Experience with Azure, Synapse, or Microsoft Fabric
  • AWS or other cloud data platforms (Databricks, Snowflake, etc.)
  • Experience with data warehouse modernization or migration projects (on-prem → cloud)
  • Experience with Databricks, Delta Lake, or lakehouse architectures
  • GitHub and CI/CD practices for data solutions
  • Python or PySpark (working knowledge)
  • Basic understanding of XML / XSD and canonical data modeling concepts

Ideal Candidate Profile

  • 8–15+ years of experience in data engineering, data modeling, or enterprise data roles
  • Background in data warehouse, integration, or platform modernization programs
  • Strong experience working in complex enterprise environments (retail, insurance, finance, banking, telecom, etc.)
  • Comfortable acting as a bridge between business, data engineering, and analytics teams
  • Strong English communication skills and ability to explain technical concepts clearly
  • Experience in consulting or enterprise transformation environments is a plus
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FocoSenior Data EngineerÁrea del rol
Señal de senioritySeniorNivel del candidato
StackAWS, Azure, CI/CDSkills principales
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