Senior Data Engineer

Há 9 horas

São Paulo, São Paulo, Brasil Truelogic Software Tempo inteiro
Overview

Senior Data Engineer - Advertising (Latam) at Truelogic Software. This role focuses on building scalable data pipelines and enabling data-driven decision making in the Google Cloud Platform (GCP) ecosystem.

Join to apply for the Senior Data Engineer - Advertising (Latam) role at Truelogic Software.

About Truelogic: we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we've been delivering technology solutions to companies of all sizes, helping them achieve digital transformation goals. Our team of 600+ professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on high-impact projects.

By applying for this position, you're joining a dynamic team that values expertise and aspirations, with opportunities for career growth and contributing to transformative projects.

Our Client: A global technology company focused on empowering today's modern marketers through innovative SaaS solutions in research, communications, and media.

Job Summary

We're looking for a passionate and experienced Data Engineer to join our team and help us build scalable and efficient ETL pipelines in the Google Cloud Platform (GCP) ecosystem. The ideal candidate will bring strong experience in PySpark, Python, and SQL, with a solid understanding of data pipeline orchestration and performance optimization. You will play a key role in transforming raw data into actionable insights that drive business value.

Responsibilities
  • Design, build, and maintain scalable ETL pipelines using PySpark and other GCP-native tools.
  • Extensive experience utilizing the Databricks platform.
  • Develop and optimize data ingestion, transformation, and loading processes.
  • Collaborate with data scientists, product managers, and other engineers to understand data needs and deliver high-quality solutions.
  • Ensure data quality, reliability, and performance across pipelines.
  • Monitor, troubleshoot, and enhance data workflows and systems.
  • Apply best practices for orchestration, version control, and CI/CD in data workflows.
  • Participate in design discussions, peer reviews, and code quality checks.
Qualifications and Requirements
  • 5-7 years of experience in data engineering, preferably in a cloud-native environment.
  • Strong programming skills: Python & PySpark.
  • Advanced SQL & experience working with large datasets.
  • Proficiency with Databricks.
  • Hands-on experience with GCP services, specifically: BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub.
  • Experience orchestrating data pipelines & workflow automation.
  • Proven track record of improving pipeline performance and maintaining data integrity.
  • Experience with performance tuning of data workflows.
  • Good communication, analytical thinking, and problem-solving abilities.
  • Ability to work independently and collaboratively in a cross-functional team.
  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or equivalent experience.
What We Offer
  • 100% Remote Work: Work from anywhere with a laptop and reliable internet.
  • Highly Competitive USD Pay: Market-leading compensation in USD.
  • Paid Time Off: Paid time off to unwind and recharge.
  • Work with Autonomy: Manage your time and focus on results.
  • Work with Top American Companies: Opportunity to work on high-impact projects with U.S. companies.
Why You'll Like Working Here
  • A Culture That Values You: Emphasis on well-being, work-life balance, and team engagement.
  • Diverse, Global Network: Connect with professionals across 25+ countries.
  • Team Up with Skilled Professionals: Collaborate with senior talent across the team.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology

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