Resumen del rol

Data Engineer

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

What You'll be Doing:

  • Design, build, and maintain scalable data pipelines using Databricks and Apache Spark
  • Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems
  • Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization
  • Write clean, efficient, and maintainable code in Python for data processing and automation
  • Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs
  • Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency
  • Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers
  • Support integration of structured and unstructured data sources into unified data platforms
  • Participate in code reviews and promote data engineering best practices across the team
  • Document data pipelines, transformations, and architecture for team visibility and maintainability
  • Collaborate with cross-functional teams to support analytics, reporting, and downstream AI/ML use cases

What You'll Need to Be Successful:

  • 3+ years of experience in data engineering or a related field
  • Strong hands-on experience with Databricks for data processing and analytics workloads
  • Proficiency with Apache Spark for large-scale distributed data processing
  • Experience implementing CDC solutions and tools (e.g., Debezium or similar)
  • Strong programming skills in Python for data engineering tasks
  • Solid understanding of SQL and relational database concepts
  • Experience building and maintaining ETL/ELT pipelines in production environments
  • Understanding of data modeling principles and data warehousing concepts
  • Strong analytical and problem-solving skills
  • Good communication skills, with the ability to work across technical and business teams

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure) and their data services
  • Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows)
  • Knowledge of data governance and cataloging practices
  • Experience with streaming data technologies (e.g., Kafka)
  • Experience working in Agile/Scrum environments
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FocoData EngineeringÁrea del rol
Señal de seniorityMiddleNivel del candidato
StackAWS, Azure, PythonSkills principales
Ubicación24 países aceptadosElegibilidad

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