This is a remote position. Shuru is an AI-native technology and engineering company that partners with businesses to build and scale high-impact digital products, platforms, and AI-driven solutions. We work with fast-growing organizations across industries, helping them solve complex technology challenges through strong engineering, product, data, and AI capabilities. Shuru is looking for a Senior Data Engineer to build scalable and reliable data pipelines for a global fintech engagement. This is a hands-on role focused on Azure Databricks, PySpark, SQL, and Delta Lake.
• Build and maintain data pipelines using Azure Databricks, PySpark, and SQL.
• Develop Bronze, Silver, and Gold data layers using Delta Lake.
• Build and optimize data models for analytics and business use cases.
• Implement data validation, testing, monitoring, and quality checks.
• Troubleshoot pipeline and data quality issues.
• Work closely with data leads, analysts, and engineering teams to deliver production-ready solutions.
• Follow data governance,



security, cataloging, and lineage standards. Requirements
• 5–8 years of Data Engineering experience.
• Strong hands-on experience with Azure Databricks, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse architecture.
• Strong understanding of data modelling and dimensional modelling.
• Experience with data quality, testing, and pipeline monitoring.
• Familiarity with Git and CI/CD. Benefits
• Work on challenging, large-scale engineering and data problems.
• Build modern platforms using cutting-edge cloud and data technologies.
• Work closely with experienced engineering, product, and technology leaders.
• Opportunity to take ownership of architecture and key technical decisions.
• Remote-first and team-oriented work environment.
• Strong opportunities for learning, leadership, and growth opportunities.

📌 Senior Data Engineer (India)
🏢 Shuru
📍 India