Data Engineer (PySpark)
About this role
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 new 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
- Strong 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
- Good 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
Frequently Asked Questions
Is the salary disclosed for the Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7?
The salary for this Data Engineer (PySpark) role at cu9XaZB8i9r9X8CdwN62f7 is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7 located?
This Data Engineer (PySpark) role at cu9XaZB8i9r9X8CdwN62f7 is based in Bengaluru, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7?
Click the "Apply Now" button on this page. You will be redirected to cu9XaZB8i9r9X8CdwN62f7's official application portal hosted on workable where you can submit your application directly.
When was the Data Engineer (PySpark) job at cu9XaZB8i9r9X8CdwN62f7 posted?
This Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7 was posted on Mar 31, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer (PySpark)
cu9XaZB8i9r9X8CdwN62f7
You'll be redirected to cu9XaZB8i9r9X8CdwN62f7's official application page on workable.