Senior Big Data Engineer

CloudDevs; Brasil; Presencial; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

An international AdTech company in Brazil is seeking a Data Engineer to design and maintain data pipelines and ETL processes using Python and AWS. The ideal candidate has 5+ years of experience in data engineering, strong skills in SQL, and a practical understanding of ETL principles. This role offers an exciting opportunity to work with cutting-edge technology in a high-performance environment.

Qualificações

• 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, data modeling, and optimization.
• Understanding of data security and compliance in cloud environments.
• Fluent in English (Upper-Intermediate level or higher).

Responsabilidades

• Design, develop, and maintain robust data pipelines and ETL processes.
• Work with large-scale data storage on AWS (S3, DynamoDB, MongoDB).
• Ensure high-quality, consistent, and reliable data flows.
• Optimize performance, scalability, and cost efficiency of data solutions.
• Collaborate with backend developers and DevOps engineers.
• Implement monitoring, logging, and alerting for data pipelines.
• Participate in architecture design and mentor mid-level engineers.

Conhecimentos

Data engineering

Python

SQL

AWS

ETL principles

Ferramentas

PySpark

MongoDB

DynamoDB

Descrição da oferta de emprego

Company Description

Join Sigma Software’s AdTech Competence Center — a 300+ team of experts delivering innovative, high-load, and data-driven advertising technology solutions. Since 2008, we’ve been helping leading AdTech companies and startups design, build, and scale their technology products.

We focus on fostering deep domain expertise, building long-term client partnerships, and growing together as a global team of professionals passionate about AdTech, data, and cloud-based solutions.

Does this sound like an exciting opportunity? Keep reading, and let’s discuss your future role!

CUSTOMER

Our client is an international AdTech company developing modern, privacy-safe, and data-driven advertising platforms. The team works with AWS and cutting-edge data technologies to build scalable, high-performance systems.

PROJECT

The project revolves around the development of a next-generation AdTech platform that powers real-time, data-driven advertising. It leverages AWS, Python, and distributed data frameworks to process large-scale datasets efficiently and securely — enabling businesses to make smarter, faster, and more informed marketing decisions.

Job Description

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

Qualifications

• 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 other distributed processing frameworks
• Experience with NoSQL databases (MongoDB or DynamoDB)
• Good understanding of ETL principles, data modeling, and performance optimization
• Understanding of data security and compliance in cloud environments
• Fluent in English (Upper-Intermediate level or higher)

Additional Information

PERSONAL PROFILE

• Strong communication and collaboration skills in cross‑functional environments
• Proactive, accountable, and driven to deliver high‑quality results

Source ⇲

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