Senior Data Engineer

Tenoris Inc

Madrid, Spain
Competitive salary; not specified; benefits: socia...
On-site
5+ years data engineering experience
Aws services glue lambda s3 redshift
Apache spark pyspark development
Tenoris Inc is seeking a Senior Data Engineer to design, develop, and maintain data pipelines in cloud environments, specifically using technologies like Apache Spark and Snowflake. The position emphasizes a collaborative company culture focused on continuous learning, creativity, and teamwork

Job Summary

  • The company acts as an accelerator for growth in Iberoamerica by combining global engineering excellence with regional expertise.
  • Responsibilities include designing ETL/ELT pipelines, implementing large-scale data processing with PySpark, and optimizing analytical models in Snowflake.
  • The role offers a permanent contract with competitive salary, flexible remote work options, and personalized career development plans.

Matching Summary

Match Score: 85

Tenoris Inc is seeking a Senior Data Engineer to design, develop, and maintain data pipelines in cloud environments, specifically using technologies like Apache Spark and Snowflake. The position emphasizes a collaborative company culture focused on continuous learning, creativity, and teamwork.

Salary

Competitive salary; Not specified; Benefits: Social benefits adapted to needs

Skills & Requirements

Must-have

  • 5+ years Data Engineering experience
  • AWS services Glue Lambda S3 Redshift
  • Apache Spark PySpark development
  • Snowflake and DBT ELT pipelines
  • Advanced SQL optimization techniques
  • Python FastAPI API development
  • Docker containerization on AWS

Nice-to-have

  • GCP BigQuery or Azure experience
  • Delta Lake Iceberg Parquet formats
  • Airflow EventBridge orchestration tools
  • Dimensional modeling Star Schema
  • Terraform CloudFormation IaC
  • Cloud or Data certifications
  • Intermediate technical English level

Key Requirements

  • More than 5 years of Data Engineering experience
  • Solid experience in AWS cloud environments
  • Advanced knowledge of SQL and Python
  • Experience with Docker and CI/CD workflows
  • Proficiency in Linux bash scripting

Work Rights

Not specified

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