Remote Senior Data Engineer - High-Impact Data Platform

Coderio

Rosario

Presencial

ARS 1.800.000 - 2.900.000

Jornada completa

hace 33 horas
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Ventajas ofrecidas por este puesto de trabajo

100% remote
Long-term impact and autonomy
Strategic international role
Career development

Descripción de la vacante

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for financial and transactional data. The role emphasizes Python, SQL, Spark, and AWS expertise, with modern data architectures and DataOps practices driving data quality and reliability.

You will design high-throughput pipelines, scale data warehouses, and collaborate with data scientists, engineers, and product managers to deliver scalable solutions across international clients.

Formación

  • 5+ years in Data Engineering or related roles in production data environments.
  • Strong Python and SQL skills for complex data processing and software development.
  • Experience with Spark/PySpark, Delta Lake, and lakehouse architectures.
  • Expertise with AWS data services (S3, Glue, Athena, EventBridge, Lambda).
  • Experience with DAG-based tools (Airflow) and data warehouses (Snowflake, Redshift, BigQuery).
  • Experience creating real-time streaming architectures (Kafka/Kinesis) and dbt for data modeling.
  • Knowledge of DevOps/DataOps practices, Git, CI/CD, IaC (Terraform), and cloud platforms (AWS/GCP).
  • Advanced English proficiency for technical and non-technical communication.

Responsabilidades

  • Design, build, and maintain high-throughput data pipelines for financial data.
  • Scale cloud data warehouse and lakehouse architectures to handle massive data volumes.
  • Collaborate with data scientists and product teams to translate needs into scalable solutions.
  • Implement data quality, monitoring, and automated testing to ensure data integrity and SLAs.
  • Promote DataOps, CI/CD, and IaC for data systems and governance.

Conocimientos

Python
SQL
Apache Spark
AWS
Data Engineering Concepts
PySpark
Delta Lake
Lakehouse Architecture
Data Mesh
Airflow
Snowflake
Redshift
BigQuery
Kafka / Kinesis
dbt
Git / CI/CD
Docker
Terraform
GCP / AWS
English Communication

Herramientas

Databricks
Airflow
Snowflake
Redshift
BigQuery
Delta Lake
Terraform
GitHub Actions
Docker
Kubernetes

Descripción del empleo

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for financial and transactional data. The role emphasizes Python, SQL, Spark, and AWS expertise, with modern data architectures and DataOps practices driving data quality and reliability.

You will design high-throughput pipelines, scale data warehouses, and collaborate with data scientists, engineers, and product managers to deliver scalable solutions across international clients.

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