At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
A leading provider of comprehensive analytics, applications, and data-enabled services that deliver marketplace intelligence on sales, distribution, pricing, and promotions for the Cannabis industry and other specialty product verticals. They empower brands, consumers, and retailers with the insights they need to thrive in a dynamic market.
In this role, you will join a dynamic Data Engineering team to refine data processes, enhance monitoring, and drive operational improvements. You’ll work closely with cross-functional teams in application development, data engineering, and customer success to transform raw data into actionable insights
Collaborate with cross-functional teams to gather and define technical requirements.
Translate business needs into scalable and efficient data architecture and solutions.
Build and deploy data solutions using modern data tools and the client’s analytics stack.
Develop a deep understanding of the organization’s data and be a trusted expert on best practices for usage.
Design and implement robust data models using Snowflake and DBT.
Perform ad-hoc analyses to identify issues, diagnose anomalies, and recommend solutions.
Utilize AWS services to design and optimize data pipelines and infrastructure.
Evaluate and recommend alternative cloud-based approaches to improve efficiency and scalability.
3–5 years of data engineering experience or equivalent experience in software engineering.
Proficiency in Python and SQL for scripting and data manipulation.
Experience with DBT and Snowflake (or similar cloud data warehouses such as BigQuery or Azure DWH).
Solid understanding of AWS-based data infrastructure (S3, Lambda, EC2).
Additional scripting in Bash.
Experience with orchestration tools like Prefect.
Infrastructure as Code (Terraform) and containerization (Docker).
Familiarity with GitHub and Jira for code management and project tracking.
Experience with web scraping.
Background working with retail point-of-sale data or integration within the Cannabis industry is a big plus.
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.
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
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