Description
We are looking for an experienced Senior Data Engineer with strong expertise in PySpark and Python to join our Data Engineering team supporting enterprise-scale Data & Analytics initiatives. The ideal candidate will have hands-on experience in building scalable ETL pipelines, data marts, and production-grade data engineering solutions across structured, semi-structured, and unstructured datasets.
The role requires robust technical capabilities in Big Data technologies, data warehousing, data analysis, software engineering best practices, and end-to-end SDLC ownership. Candidates with banking or financial services domain experience will be highly preferred.

Requirements
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines and data marts using PySpark and Python.
- Build robust, maintainable, and production-ready data engineering solutions.
- Perform end-to-end SDLC activities including development, UAT support, bug fixes, production deployments, and post-production support.
- Work with large-scale structured, semi-structured, and unstructured datasets.




- Perform data analysis, cleansing, transformation, and feature engineering activities.
- Debug and optimize PySpark code and complex SQL queries for performance and scalability.
- Develop and maintain production-grade data pipelines using modern data engineering best practices.
- Collaborate with cross-functional teams to resolve dependencies and ensure timely project delivery.
- Participate in CI/CD implementation, testing, validation, and deployment activities.
- Ensure data quality, integrity, and consistency across enterprise data platforms.
- Work closely with technical and business stakeholders to understand data requirements and deliver scalable solutions.
- Contribute to technical documentation, engineering standards, and process improvements.

Required Technical Skills
Programming & Data Engineering
- Python (Expert level)
- PySpark (Expert level)
- ETL Pipeline Development

📌 Senior Data Engineer (Bengaluru)
🏢 GSSTech Group
📍 Bengaluru