Senior Data Engineer Databricks (m/f/d)
NewBe an early applicantSummary
Senior Data Engineer at Deutsche Telekom in Reus, Spain, designing and evolving a Databricks-based data platform: building ETL/ELT pipelines and ingestion across data lake, warehouse, and lakehouse environments, ensuring data quality, setting standards, mentoring engineers, and optimizing production data processes.
Experteer Overview
No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.
In this role you will design, build and evolve the data platform, focusing on ETL/ELT processes and data ingestion across Data Lake, Data Warehouse, or Lakehouse environments. You will ensure data quality, define standards, and serve as a technical reference for the Data Engineering team. You will engage with clients to shape data strategy, coordinate with architects, BI and data science teams, and optimize performance and reliability of data processes. You will document architectures and data flows to maintain a coherent data ecosystem.
Compensaciones / Beneficios
• Design and evolve ETL/ELT processes to meet business requirements
• Implement data ingestion, transformation, and persistence in data lake/warehouse/lakehouse environments
• Define data quality controls, validations, and traceability mechanisms
• Establish technical standards, best practices, and development patterns for data pipelines
• Act as technical reference for the Data Engineering team, providing support, code reviews and mentoring
• Engage with clients as a technical expert, contributing xqbhyrx to data strategy and design decisions
• Coordinate with architects, analysts, BI and data science teams to ensure data ecosystem coherence
• Optimize performance, scalability, and reliability of data processes in production
• Document platform architecture, data flows, and critical processes
Responsabilidades
•
Requisitos principales
•
No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.
In this role you will design, build and evolve the data platform, focusing on ETL/ELT processes and data ingestion across Data Lake, Data Warehouse, or Lakehouse environments. You will ensure data quality, define standards, and serve as a technical reference for the Data Engineering team. You will engage with clients to shape data strategy, coordinate with architects, BI and data science teams, and optimize performance and reliability of data processes. You will document architectures and data flows to maintain a coherent data ecosystem.
Compensaciones / Beneficios
• Design and evolve ETL/ELT processes to meet business requirements
• Implement data ingestion, transformation, and persistence in data lake/warehouse/lakehouse environments
• Define data quality controls, validations, and traceability mechanisms
• Establish technical standards, best practices, and development patterns for data pipelines
• Act as technical reference for the Data Engineering team, providing support, code reviews and mentoring
• Engage with clients as a technical expert, contributing xqbhyrx to data strategy and design decisions
• Coordinate with architects, analysts, BI and data science teams to ensure data ecosystem coherence
• Optimize performance, scalability, and reliability of data processes in production
• Document platform architecture, data flows, and critical processes
Responsabilidades
•
Requisitos principales
•