Provectus
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
Senior Data Engineer
November 18
Provectus
Artificial Intelligence • SaaS
Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.
501 - 1000 employees
Founded 2012
🤖 Artificial Intelligence
☁️ SaaS
📋 Description
• Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals. • Collect and manage large volumes of varied data sets. • Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products. • Define data models that integrate disparate data across the organization. • Design, implement, and maintain ETL/ELT data pipelines. • Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently. • Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.
🎯 Requirements
• Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc. • Experience in AWS. • Proficiency in programming languages relevant to data engineering, such as Python and SQL. • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation. • Experience in building scalable APIs. • Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization. • Upper-Intermediate or higher English skills. • Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings.
🏖️ Benefits
• Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications. • Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work. • Long-term B2B collaboration. • 100% remote — with flexible hours. • Collaboration with an international, cross-functional team. • Comprehensive private medical insurance or budget for your medical needs. • Paid sick leave, vacation, and public holidays. • Equipment and all the tech you need for comfortable, productive work. • Special gifts for weddings, childbirth, and other personal milestones.
Apply Now