
501 - 1000 employees
Founded 2004
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.
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501 - 1000 employees
Founded 2004
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.
• Data Platform Evolution: Guide the foundational architecture, scaling strategies, and long-term roadmap of the enterprise data platform. • Pipeline Engineering: Design and lead the development of highly scalable data pipelines using Airflow, dbt, and Python. • Modern Stack Integration: Build and maintain high-throughput integrations across core modern data stack tools, including Fivetran, Redshift, and Sigma. • Serverless Architecture: Develop and optimize serverless data services and ingestion layers leveraging AWS infrastructure (e.g., AWS Lambda). • Advanced Data Modeling: Partner with cross-functional stakeholders to define reliable, performant data warehouse architectures and analytical datasets. • Observability & Reliability: Implement automated testing, rigorous monitoring frameworks, and tracing to maximize pipeline reliability and minimize operational downtime. • Technical Leadership & Governance: Mentor data engineers and analysts on engineering best practices, while driving continuous improvements in data governance and documentation.
• Professional Longevity: 8+ years of proven experience designing and building production-grade data pipelines and large-scale analytics infrastructure. • Transformation & Orchestration: Strong, expert-level background utilizing dbt and Apache Airflow (or highly equivalent orchestration and transformation frameworks). • Data Warehousing & Ecosystems: Extensive experience with modern data warehouse architecture, specifically scaling and optimizing platforms like Amazon Redshift, alongside tools like Fivetran and Sigma. • Engineering Stack: Advanced Python programming capabilities for complex pipeline creation, automation scripts, and serverless data processing. • Data Mastery: Expert-level SQL skills with deep experience modeling massive, complex datasets for high-performance extraction. • Cloud Infrastructure: Deep practical familiarity with AWS cloud ecosystems, specifically deploying serverless computing architectures (e.g., Lambda). • Cross-Functional Leadership: Demonstrated capability to lead high-stakes technical initiatives, align diverse stakeholders, and modernize legacy workflows with high autonomy.
• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Apply Now🕒 May 26
Data Engineer Analyst designing and implementing scalable data solutions for AI services provider. Collaborating with teams to ensure high-quality, reliable data pipelines.
🇺🇾 Uruguay – Remote
💰 $100M Private Equity Round on 2022-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
AWS
Cloud
PySpark
Python