🛠 Tech Stack

💼 About This Role

You'll design and deliver scalable data ecosystems on Microsoft Azure for enterprise-grade analytics and business intelligence. You'll build robust data pipelines enabling real-time and batch processing across distributed environments, collaborating with cross-functional teams to transform raw data into actionable insights. This high-impact role combines architecture, engineering leadership, and hands-on technical execution.

🎯 What You'll Do

• Design and build scalable data pipelines using Azure Data Factory and Databricks
• Architect modern data warehouse and data lake solutions for analytics readiness
• Develop data ingestion and transformation frameworks from diverse sources
• Implement data governance, security, and compliance controls

📋 Requirements

• 8+ years in data engineering or data architecture with Azure cloud exposure
• Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage
• Strong programming skills in Python/PySpark and SQL
• Deep understanding of ETL/ELT pipelines, data modeling, and large-scale processing

✨ Nice to Have

• Experience with CI/CD and DevOps tools in data engineering
• Knowledge of Scala programming
• Experience mentoring engineers and defining technical standards

🎁 Benefits & Perks

• 🏡 Fully remote work from anywhere in India
• 🌍 Inclusive and diverse work culture
• ⏰ Flexible working arrangements including adjusted schedules
• 📈 Opportunity to work on enterprise-scale cloud data projects
• 🔄 Return-to-work support programs for professionals resuming careers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min