🛠 Tech Stack

💼 About This Role

You'll design and build cloud-native data platforms on Microsoft Azure for analytics and AI use cases. You'll lead data ingestion, transformation, and serving layers while mentoring engineers. This role offers the chance to work with a global team at a Great Place to Work certified company.

🎯 What You'll Do

• Design and implement scalable data pipelines on Azure.
• Build batch and near-real-time data processing solutions.
• Enable ML workloads by collaborating with data scientists.
• Lead small teams or workstreams and mentor engineers.

📋 Requirements

• 6+ years in data engineering.
• 3-4 years hands-on Microsoft Azure experience.
• Strong experience with Azure Data Factory, Databricks, Synapse, ADLS Gen2.
• Solid SQL, PySpark, and data modeling skills.

✨ Nice to Have

• Familiarity with Microsoft Fabric / Foundry.
• Experience handling semi-structured or unstructured data.
• Exposure to AI/ML data enablement.

🎁 Benefits & Perks

• 🏖️ Remote work
• 🏥 Health insurance
• 📈 Learning and development
• 🌍 Global team collaboration