Senior Data Engineer (m/f/d) Databricks
NewBe an early applicantSummary
Senior Data Engineer designing and evolving ETL/ELT pipelines on a Databricks-based data platform, building ingestion, transformation and storage in data lakes/warehouses/lakehouses, setting data quality controls and standards, and mentoring the data engineering team while advising clients on data strategy.
Experteer Overview
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
In this role you will design, implement and evolve ETL/ELT processes to support a scalable data platform. You will ensure alignment with business requirements and collaborate with cross-functional teams to deliver reliable data ingestion, transformation and storage in data lakes, warehouses or lakehouses. You will define data quality controls, technical standards and provide expert guidance, mentoring and client-facing input on data strategy. You will also optimize performance and document the data ecosystem to enable governed, data-driven decisions.
Compensaciones / Beneficios
• Define, design and evolve ETL/ELT processes aligned with business needs
• Design and implement data ingestion, transformation and persistence in Data Lake/Warehouse/Lakehouse environments
• Establish data quality controls, validations and traceability mechanisms
• Define technical standards, best practices and development patterns for data pipelines
• Act as technical reference for the Data Engineering team: support, code review and mentoring
• Interact with clients as a technical expert to xqbhyrx influence design decisions and data strategy
• Coordinate with architects, analysts, BI and data science teams to ensure coherent data ecosystem
• Optimize performance, scalability and reliability of data processes in production
• Document the platform architecture, data flows and critical processes
Responsabilidades
•
Requisitos principales
•
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
In this role you will design, implement and evolve ETL/ELT processes to support a scalable data platform. You will ensure alignment with business requirements and collaborate with cross-functional teams to deliver reliable data ingestion, transformation and storage in data lakes, warehouses or lakehouses. You will define data quality controls, technical standards and provide expert guidance, mentoring and client-facing input on data strategy. You will also optimize performance and document the data ecosystem to enable governed, data-driven decisions.
Compensaciones / Beneficios
• Define, design and evolve ETL/ELT processes aligned with business needs
• Design and implement data ingestion, transformation and persistence in Data Lake/Warehouse/Lakehouse environments
• Establish data quality controls, validations and traceability mechanisms
• Define technical standards, best practices and development patterns for data pipelines
• Act as technical reference for the Data Engineering team: support, code review and mentoring
• Interact with clients as a technical expert to xqbhyrx influence design decisions and data strategy
• Coordinate with architects, analysts, BI and data science teams to ensure coherent data ecosystem
• Optimize performance, scalability and reliability of data processes in production
• Document the platform architecture, data flows and critical processes
Responsabilidades
•
Requisitos principales
•