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.
Lead Data Tech
Job not on LinkedIn
October 16
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.
đ Description
⢠Provide hands-on technical guidance and ensure best practices in architecture, coding, and design. ⢠Collaborate closely with clients to understand IT environments, business needs, and digital transformation goals. ⢠Take ownership of project outcomes, ensuring timely delivery and alignment with client expectations. ⢠Proactively identify risks, challenges, and opportunities for improvement, and drive solutions forward. ⢠Work directly with ML Engineers to create resilient data pipelines powering Data Products. ⢠Define data models to integrate disparate data across organizations. ⢠Design, implement, and maintain ETL/ELT pipelines using modern tools. ⢠Perform large-scale data transformations with **Spark, Trino, AWS Athena**. ⢠Develop, test, and deploy Data API Products with **Python** and frameworks like **Flask/FastAPI**.
đŻ Requirements
⢠5+ years of **hands-on data engineering experience**. ⢠Proven track record in **team leadership and technical advising**. ⢠Strong problem-solving skills and ability to take ownership in dynamic settings. ⢠Solid expertise in **AWS**. ⢠Experience handling **real-time and batch data pipelines** with tools like **Airflow, Dagster, Kafka, Apache Druid, Spark, dbt**. ⢠Proficiency in **Python and SQL**. ⢠Familiarity with IaC tools (**Terraform, AWS CloudFormation**). ⢠Experience in **building scalable APIs**. ⢠Understanding of **Data Governance** (quality, lineage, security, glossary, MDM, cost optimization). ⢠**English: Upper-Intermediate+**.
đď¸ Benefits
⢠Work on **cutting-edge Data & AI projects** for global enterprises. ⢠Be part of a collaborative, innovative, and supportive culture. ⢠Grow your expertise in **Data, AI/ML, and Cloud technologies**.
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