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 collaborative work workplace.
- Strong opportunities for learning, leadership, and career growth.

📌 Senior Data Engineer (India)
🏢 Shuru
📍 India