Data Engineer
Build the data infrastructure and pipelines that power analytics and machine learning.
Data Engineer
Data Engineers are the backbone of the modern data stack. They build and maintain the infrastructure that enables data scientists, analysts, and ML engineers to do their work. With the explosion of data volumes and the shift to real-time analytics, Data Engineers who can design scalable, reliable, and cost-effective data pipelines are in extremely high demand. The role combines software engineering skills with deep knowledge of data systems and cloud platforms.
Habilidades
Optimización LinkedIn
- 1
Share insights on data architecture and pipeline design
- 2
Post about modern data stack trends and best practices
- 3
Highlight experience with data quality and governance
- 4
Connect with Heads of Data and Analytics leaders
- 5
Showcase data infrastructure projects with scale metrics
CV y Currículum
- 1
Quantify: "Built data pipeline processing 50TB daily with 99.9% uptime"
- 2
Detail experience with different data warehouses and lakes
- 3
Show ETL/ELT pipeline design and optimization
- 4
Include data quality and testing frameworks
- 5
Highlight cost optimization for data infrastructure
Estrategia de Outreach
- 1
Research their data stack and suggest improvements
- 2
Mention experience with tools they use (Snowflake, Databricks, etc.)
- 3
Share case studies of data pipeline optimization
- 4
Connect with data team members directly
- 5
Demonstrate understanding of their data challenges
Preparación de Entrevistas
- 1
Prepare data modeling and schema design scenarios
- 2
Review distributed systems concepts for data processing
- 3
Practice SQL optimization and window functions
- 4
Have examples of pipeline reliability improvements
Un día como Data Engineer
Monitor data pipeline health dashboards, debug failed jobs, design new data models, optimize Spark jobs for performance, collaborate with data scientists on feature engineering, review pull requests, work on data quality testing.
Trayectoria Profesional
Errores comunes
Only showing SQL without pipeline engineering skills
Not mentioning data quality and testing
Ignoring cloud platform experience
Not quantifying pipeline scale and reliability
Focusing only on batch without streaming experience
Herramientas esenciales
Preguntas frecuentes
Salario medio de un/a Data Engineer?
El salario medio de un/a Data Engineer en Europa oscila entre 50K - 95K EUR. Varía según experiencia, ubicación y tipo de empresa.
Habilidades clave para un/a Data Engineer?
Habilidades técnicas principales: SQL, Python, Spark, Airflow, Cloud Data Platforms. Las habilidades blandas como comunicación y trabajo en equipo son igualmente importantes.
Trayectoria profesional de un/a Data Engineer?
Camino típico: Junior Data Engineer > Data Engineer > Senior Data Engineer > Staff Data Engineer > Data Architect > Head of Data Engineering > VP of Data.
Data Engineer
Envía tu perfil para revisión. Estudio personalmente cada aplicación. Si cualificas, te contactaré con un análisis detallado y tu plan de optimización personalizado.