Mid Senior Data Engineer - Remote

Overview

We are an innovative AI SaaS startup that develops cutting-edge AI solutions and provides expert consulting services. Our mission is to empower businesses with state-of-the-art AI technologies and data-driven insights. We're seeking a talented Data Engineer to join our team and help drive our product development and consulting initiatives.

In Short

• A Mid-Senior Azure Data Engineer will play a key role in designing, building, and optimizing data pipelines and architectures within the Azure ecosystem.
• This role involves working with Azure Data Factory (ADF), Databricks, PySpark, Scala, and Python to support data ingestion, transformation, and orchestration workflows.
• Collaborate with senior team members to enhance data solutions and contribute to AI-driven projects.
• Provide technical guidance to junior engineers and implement best practices for data security and compliance.
• Design and deploy scalable data pipelines using Azure Synapse, Azure Databricks, and Azure Stream Analytics.
• Optimize data storage and implement DevOps practices via Azure DevOps or GitHub Actions.
• Integrate data solutions with AI/ML services.
• Develop data governance frameworks and troubleshoot performance bottlenecks.
• Collaborate with AI engineers to productionize GenAI models.
• 3–5 years of Azure data engineering experience is required.

Requirements

• Proficiency in advanced SQL, PySpark, and data orchestration tools.
• Expertise in performance tuning and strong understanding of DevOps and IaC.
• Experience with AI/ML workflows and real-time data streaming.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Be part of a high-growth startup with endless opportunities for career advancement.
• See your contributions make a real difference in how businesses operate.
• Join a diverse team of brilliant minds from around the world.
• Enjoy remote work options and a healthy work-life balance.
• Competitive Compensation as per market.