Description
We are seeking a skilled Data Engineer to join the Group Risk team, responsible for building and managing robust data pipelines to support IFRS9 reporting. The role involves close collaboration with business stakeholders to understand data requirements, perform impact analysis, and deliver high-quality data solutions using up-to-date data engineering technologies such as PySpark and Informatica BDM.

Key Responsibilities
Collaborate with the Group Risk Team to gather and understand business and data requirements
Perform impact assessment and technical data mapping for current and existing data sources
Conduct data profiling to ensure data quality, consistency, and completeness
Design, develop, and maintain ETL pipelines using PySpark and Informatica BDM
Build scalable data transformation workflows aligned with IFRS9 data models
Ensure accurate data extraction, transformation, and loading (ETL) into reporting systems
Participate in unit testing, validation, and deployment of data pipelines




Optimize data processing performance and troubleshoot production issues
Adopt modern tools (e.g., AI-assisted tools like Claude) to improve productivity, reduce errors, and enhance development workflows
Maintain proper documentation for data flows, mappings, and processes

Required Skills & Qualifications
Strong experience in PySpark for large-scale data processing
Hands-on experience with Informatica BDM (Big Data Management)
Solid understanding of ETL concepts, data warehousing, and data modeling
Experience with data profiling, data mapping, and impact analysis
Knowledge of IFRS9 or Risk/Banking domain is highly preferred
Familiarity with distributed data processing frameworks and big data ecosystems
Robust SQL skills and experience working with relational databases
Good understanding of data quality and governance principles

Preferred Skills
Exposure to cloud platforms (AWS / Azure / GCP)
Experience with AI-assisted development tools

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