Data Engineer

Dot Collective is a dynamic data, cloud, and AI consultancy dedicated to engineering excellence and building mission-critical data infrastructure for global enterprises. We are looking for a passionate Data Engineer to join our team and help us design and deploy scalable solutions that empower businesses to leverage the full potential of their data.

Key responsibilities

• Implementing robust, cloud-native data platforms tailored to enterprise needs.
• Engineering scalable and reliable data pipelines to support complex analytical requirements.
• Designing, deploying, and managing cloud resources using modern automation and orchestration tools.
• Monitoring and performing tuning of cloud-based applications to ensure optimal performance.
• Collaborating within an agile environment to deliver high-impact data solutions.

Requirements

• Strong proficiency in Python and SQL for data processing and analysis.
• Solid understanding of distributed computing principles, particularly with Apache Spark.
• Proven experience with cloud architecture best practices and infrastructure management.
• Practical knowledge of cloud automation tools such as Terraform or CloudFormation.
• Ability to architect, develop, and operate end-to-end data platforms.

What we offer

• Opportunity to work on mission-critical projects with modern technology stacks.
• A collaborative culture that values innovation, risk-taking, and professional growth.
• Exposure to cutting-edge MLOps practices, including model deployment and automated workflows.
• A fully remote work environment that empowers you to make a significant impact.