Remote Mid-Level Data Engineer: Spark & Databricks

PM Tool

Argentina

A distancia

ARS 2.400.000 - 4.200.000

Jornada completa

hace 44 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote work
Flexible schedule
Professional development
Community activities

Descripción de la vacante

Sigma Software is seeking a Middle Data Engineer to join a remote team building modern cloud-native data platforms. You will develop and optimize ETL/ELT pipelines, data models, and architectures using Databricks, Apache Spark, Snowflake, and AWS to enable analytics and BI.

Ideal candidates have 3+ years in data engineering or software engineering, strong Python and SQL skills, and hands-on experience with cloud data warehousing.

Formación

  • 3+ years of experience in Data Engineering or Software Engineering.
  • Upper-Intermediate English level.
  • Strong SQL skills and understanding of relational and dimensional data modeling.
  • Hands-on experience with Python for data processing and automation.
  • Experience building and maintaining ETL/ELT pipelines.
  • Hands-on experience with Databricks and Apache Spark.
  • Experience working with Snowflake.
  • Understanding of data warehousing and modern data platform concepts.
  • Experience working with cloud environments, preferably AWS.
  • Familiarity with CI/CD, Git, and software engineering best practices.
  • Strong analytical, troubleshooting, and communication skills.

Responsabilidades

  • Design, develop, and maintain ETL/ELT pipelines.
  • Build and optimize data transformations to support analytics and reporting needs.
  • Develop and maintain data models, datasets, and integration solutions.
  • Ensure data quality, consistency, and reliability through testing and monitoring.
  • Troubleshoot and resolve data pipeline and performance issues.
  • Collaborate with analysts, engineers, and business stakeholders to deliver data-driven solutions.
  • Contribute to the development and maintenance of cloud-based data platforms.
  • Participate in code reviews and technical discussions.
  • Create and maintain technical documentation for implemented solutions.
  • Continuously improve existing data processes and platform performance.

Conocimientos

Python
SQL
Apache Spark

Herramientas

Databricks
Snowflake
AWS
CI/CD

Descripción del empleo

Sigma Software is seeking a Middle Data Engineer to join a remote team building modern cloud-native data platforms. You will develop and optimize ETL/ELT pipelines, data models, and architectures using Databricks, Apache Spark, Snowflake, and AWS to enable analytics and BI.

Ideal candidates have 3+ years in data engineering or software engineering, strong Python and SQL skills, and hands-on experience with cloud data warehousing.

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