Senior Data Engineer - AWS

April 17

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Provectus

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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

•We are seeking a talented and experienced Data Engineer to join our team at Provectus. •As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. •You will encounter numerous technical challenges and have the opportunity to contribute to Provectus’ open source projects, build internal solutions, and engage in R&D activities, providing an excellent environment for professional growth.

🎯 Requirements

•Experience in data engineering; •Experience working with Cloud Solutions (preferably AWS, also GCP or Azure); •Experience with Cloud Data Platforms (e.g., Snowflake, Databricks); •Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation; •Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc; •Proficiency in programming languages relevant to data engineering such as Python and SQL; •Experience in building scalable APIs; •Experience in building Generative AI Applications (e.g., chatbots, RAG systems); •Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization; •Advanced or Fluent English skills; •Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.