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1001 to 5000 Employees · Chengdu, China
4 open roles2 posted in 7d4 in 30d
Work-life balance 5.0Compensation & benefits 5.0Culture & values 5.0
Hiring: Engineering
What employees say
+ good benefits and good salary.
− it's a good experience working here
More reviews on the company profile.
Job description
Overview
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.
Responsibilities
- 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.
- 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
Qualifications
- 6+ years of experience in Data Engineering
- Strong hands-on experience with PySpark and Python
- Solid experience with SQL and Oracle databases
- Good understanding of data warehousing concepts and ETL frameworks
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Exposure to banking, financial services, or risk & compliance domain is preferred
- Strong problem-solving and analytical skills
- Ability to work in a rapid-paced, collaborative environment
- Excellent communication and stakeholder management skills
- Attention to detail with a focus on data quality and security
- Knowledge of data security and regulatory compliance frameworks
- Prior experience working with enterprise data platforms .
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Senior Data Engineer (PySpark, Python) (Chennai) at Leading?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Leading may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer (PySpark, Python) (Chennai) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer (PySpark, Python) (Chennai) remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer (PySpark, Python) (Chennai) role at Leading?
- This is a senior Senior Data Engineer (PySpark, Python) (Chennai) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.