We are looking for a skilled Data Engineer to join the Data Engineering Chapter supporting the Group Operations team at ENBD. The ideal candidate will be responsible for building scalable data pipelines, performing data analysis, and delivering high-quality data solutions aligned with enterprise data models.

Key Responsibilities
Collaborate with the Group Operations Team to understand business and data requirements on a daily basis
Perform Impact Assessment for recent and existing data changes
Conduct Technical Data Mapping and Data Profiling activities
Design, develop, and maintain ETL pipelines for data extraction, transformation, and loading
Build data solutions to feed into AECB application as per prescribed data models
Develop and optimize data pipelines using PySpark on modern data platforms
Ensure data quality, consistency, and integrity across systems
Perform unit testing, debugging, and deployment of data solutions
Leverage modern tools and AI technologies (e.g., Claude) to enhance development efficiency and reduce operational errors




Work closely with cross-functional teams including business analysts, architects, and QA

Required Skills & Qualifications
Strong hands-on experience with PySpark and distributed data processing
Experience in Informatica BDM Development (Big Data Management)
Solid understanding of ETL/ELT concepts and data pipeline architecture
Expertise in data mapping, data profiling, and impact analysis
Experience working with large-scale data systems and cloud/data platforms
Solid SQL skills and understanding of data warehousing concepts
Familiarity with banking/financial domain (preferred but not mandatory)
Knowledge of AI-assisted development tools (e.g., Claude) is a plus
Positive problem-solving and analytical skills

Nice to Have
Experience with AECB data/reporting systems
Exposure to big data ecosystems (Hadoop/Spark clusters)
Understanding of data governance and compliance standards

📌 Data Engineer Pyspark Bengaluru
🏢 Recognized
📍 Bengaluru