Senior Data Engineer (PySpark, Python)
About this role
We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines for enterprise-grade data platforms within the Risk & Compliance domain. The ideal candidate will have strong expertise in PySpark, Python, and data engineering best practices, with a focus on data quality, governance, and security.
Key Responsibilities
- Design, develop, and optimize scalable data pipelines using PySpark and Python
- Build robust ETL/ELT workflows to process large volumes of structured and unstructured data
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets
- Ensure data integrity, accuracy, and reliability through validation frameworks and monitoring
- Implement data security and access control mechanisms aligned with compliance standards
- Work closely with Risk & Compliance teams to support regulatory and reporting requirements
- Optimize performance of data processing jobs and queries
- Maintain and enhance existing data architecture and pipelines
Required Skills & Experience
- 6+ years of experience in Data Engineering
- Strong hands-on experience with PySpark and Python
- Solid experience with SQL and Oracle databases
- Experience in building and maintaining large-scale data pipelines
- Good understanding of data warehousing concepts and ETL frameworks
- Experience with data validation, data quality, and governance frameworks
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Exposure to banking, financial services, or risk & compliance domain is preferred
Key Competencies
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, collaborative environment
- Excellent communication and stakeholder management skills
- Attention to detail with a focus on data quality and security
Nice to Have
- Experience with Big Data ecosystems (Hadoop, Spark)
- Knowledge of data security and regulatory compliance frameworks
- Prior experience working with enterprise data platforms
Frequently Asked Questions
Is the salary disclosed for the Senior Data Engineer (PySpark, Python) position at cu9XaZB8i9r9X8CdwN62f7?
The salary for this Senior Data Engineer (PySpark, Python) 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 Senior Data Engineer (PySpark, Python) position at cu9XaZB8i9r9X8CdwN62f7 located?
This Senior Data Engineer (PySpark, Python) role at cu9XaZB8i9r9X8CdwN62f7 is based in Chennai, Tamil Nadu, 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 Senior Data Engineer (PySpark, Python) 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 Senior Data Engineer (PySpark, Python) job at cu9XaZB8i9r9X8CdwN62f7 posted?
This Senior Data Engineer (PySpark, Python) position at cu9XaZB8i9r9X8CdwN62f7 was posted on Apr 6, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Engineer (PySpark, Python)
cu9XaZB8i9r9X8CdwN62f7
You'll be redirected to cu9XaZB8i9r9X8CdwN62f7's official application page on workable.