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Data Engineer - Remote

Posted Yesterday
Software Development
Full Time
Brazil

Overview

Join Sigma Software’s AdTech Competence Center as a Data Engineer, where you will design, develop, and maintain robust data pipelines and ETL processes for a next-generation AdTech platform.

In Short

  • Design, develop, and maintain data pipelines and ETL processes using Python, SQL, and PySpark.
  • Work with large-scale data storage on AWS (S3, DynamoDB, MongoDB).
  • Ensure reliable data flows between systems.
  • Optimize performance and cost efficiency of data solutions.
  • Collaborate with backend developers and DevOps engineers.
  • Implement monitoring and alerting for production data pipelines.
  • Participate in architecture design and mentor mid-level engineers.

Requirements

  • 5+ years of experience in data engineering or backend development.
  • Strong knowledge of Python and SQL.
  • Hands-on experience with AWS (S3, Glue, Lambda, DynamoDB).
  • Practical knowledge of PySpark or distributed processing frameworks.
  • Experience with NoSQL databases (MongoDB or DynamoDB).
  • Good understanding of ETL principles and data modeling.
  • Understanding of data security and compliance in cloud environments.
  • Fluent in English (Upper-Intermediate level or higher).

Benefits

  • Work in a dynamic and innovative environment.
  • Opportunity for professional growth and development.
  • Collaborate with a team of experts in the AdTech field.
Sigma Software logo

Sigma Software

Sigma Software is a dynamic technology company specializing in the development of advanced tools and SDKs for mobile applications. Their Mobile division is dedicated to creating state-of-the-art solutions that enhance the coding experience for developers, ensuring the delivery of accessible mobile applications. The company collaborates with a rapidly growing technology leader in digital accessibility software, which focuses on making web and mobile offerings accessible to all through AI-enabled products that streamline development processes and reduce risks.

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