Senior Data Engineer

Summary

Senior Data Engineer with 6 years of experience designing and scaling modern data platforms across cloud environments. Proven track record delivering high-impact data solutions for large organizations such as Google, Amazon, Santander, and BBVA. Strong expertise in Python, SQL, Spark, and metadata-driven ingestion frameworks, with deep experience in data modeling, metric governance, and analytics enablement. Known for building reliable, well-governed data systems that accelerate insights, support experimentation, and meet enterprise-grade standards.

Expectations

I am looking for a senior-level data engineering role where I can design and scale modern data platforms, lead data modeling and ingestion standards, and partner closely with product and analytics teams. I value environments that emphasize data quality, metric governance, and real business impact, with opportunities to influence architecture and technical direction.

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Total Compensation

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Python
• SQL
• PySpark
• Apache Spark
• BigQuery
• AWS Glue
• Amazon Redshift
• GCP
• AWS
• Azure
• Databricks
• Dataflow
• Dataproc
• Cloud Run
• ETL
• ELT
• Data Pipelines
• Metadata-driven Ingestion
• Data Modeling
• Dimensional Modeling
• Analytics Engineering
• Dbt-style Modeling
• Airflow
• Orchestration
• CI
• CD
• Looker
• LookML
• Semantic Layer
• Metric Governance
• Experimentation Analytics
• KPI Frameworks
• NLP
• Recommendation Systems
• Big Data
• Cloud Architecture
• Data Governance