Senior Data engineer

Tecdata; United States; Remote; USD 66,000 - 111,000; Full time

Job summary

Tecdata busca un Senior Data Engineer para impulsar soluciones de datos en la nube y en producción. El candidato participará en diseño de pipelines ETL/ELT, modelado de datos y aseguramiento de calidad, trabajando con plataformas como Databricks, Snowflake y BigQuery.

Se requiere dominio de SQL y Python, experiencia en Spark y arquitectura lakehouse, además de habilidades en IaC (Terraform) y herramientas como dbt y Airflow. Se trabajará en entornos ágiles y con clientes.

Qualifications

• 5+ years of experience in data engineering with production solutions and autonomy.
• Strong SQL and Python skills; data modeling and ETL/ELT design.
• Distributed processing with Spark/PySpark (batch and streaming).
• Experience with Databricks, Snowflake, BigQuery or similar platforms in cloud.
• Experience with transformation/orchestration, CI/CD, monitoring and dbt/Airflow; IaC with Terraform.
• Lakehouse architectures and open formats; data quality frameworks.
• Fluent Spanish and professional English for documentation and collaboration.
• Work in agile methodologies and liaise with business and clients.

Responsibilities

• Liaise with business and client teams within agile environments.

Skills

Data engineering

SQL

Python

ETL/ELT

Spark

Spanish

English

Agile methodologies

Data modeling

Tools

Databricks

Snowflake

BigQuery

Microsoft Fabric

Cloudera

Glue

Dataproc

Terraform

dbt

Airflow

Delta Lake

Parquet

Great Expectations

Job description

Location: Spain

Buscamos un Senior Data engineer

Imprescindible

• Indicative experience of 5or more years in data engineering, with relevant involvement in production solutions and demonstrable autonomy, with at least 3 years on cloud data platforms and in client projects.
• Practical mastery of SQLadvanced performance optimization (execution plans, partitioning, clustering) and Python, source integration, data modeling and ETL/ELT pipeline design. Modeling methodologies: dimensional/Kimball, Data Vault, SCD and 3NF.
• Distributed processing with Spark/PySpark (batch, streaming).
• Solid experience in at least one data platform, such as Databricks, Snowflake, BigQuery, Microsoft Fabric or Cloudera, Glue, Dataproc and in a cloud environment or equivalent.
• Experience with transformation and orchestration, version control, testing, CI/CD, monitoring and incident resolution, plus dbt and Airflow or equivalents (Data Factory, Cloud Composer, Databricks Workflows) and infrastructure as code (Terraform).
• Arquitecturas lakehouse and open formats (Delta Lake, Apache Iceberg, Parquet) and frameworks of data quality (dbt tests, Great Expectations o similares).
• Fluent Spanish and professional English for documentation and technical collaboration.
• Work in agile methodologies and direct liaison with business and client.