Analytics Engineer

🕒 Janeiro 8

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TRACTIAN

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏢 Corporativo

⚡ Energia

Enterprise • Industrial • Energy

TRACTIAN é uma empresa especializada em Asset Performance Management (APM), oferecendo soluções líderes de mercado para garantir zero downtime em plantas industriais. Com produtos como Smart Trac Condition Monitoring & Auto Diagnosis e TracOS™ Maintenance Management Software, a TRACTIAN permite que gestores de plantas prevejam falhas, evitem paradas e gerenciem ativos com eficiência. Suas soluções também focam em eficiência energética, transformando dados de consumo de energia em lucro. A TRACTIAN colabora com setores como automotivo, mineração, óleo e gás e farmacêutico, oferecendo insights avançados e diagnósticos com IA para aumentar a confiabilidade das máquinas e a eficiência operacional.

Descrição

• Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats. • Design, implement, and optimize data models to support reporting and analytical needs. • Collaborate with business stakeholders to understand business requirements and translate them into technical specifications. • Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques. • Work with cloud-based data warehouses and analytics platforms to manage and store large datasets. • Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data. • Document data processes, workflows, and best practices to enhance team knowledge and efficiency. • Create dashboards as data products as internal or external products

🎯 Requisitos

• B.S. in Computer Engineering, Data Science, Statistics, Computer Science, or a related field. • 2+ years of experience in Data Science or Analytics. • Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse. • Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt). • Experience with BI tools (e.g., PowerBi, Looker, Tableau) • Experience with cloud-based data platforms like AWS Redshift. • Experience with programming languages such as Python. • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.