Data Governance Quality Engineer

Data Governance Quality Team Member

Location: L&T Finance, Mahape, Navi Mumbai, India

We are seeking a skilled Data Quality Engineer to join our growing data governance team. The ideal candidate should bring 46 years of experience in data engineering or quality assurance, with hands-on expertise in data profiling, business rule engine (BRE) logic, and data quality scoring frameworks. The candidate will play a key role in implementing and maintaining data quality rules to ensure trust, accuracy, and compliance across enterprise data assets

.Hands-on experience with Data Governance tools is essential, with preference given to those familiar with any one of the tools Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake

.Strong communication and collaboration skills are required to engage effectively with business and application stakeholders across L&T Finance

.If you're passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career.

WHO WE ARE

L&T Finance is one of India's leading Non-Banking Financial Companies (NBFCs), known for its innovation-driven lending solutions across retail, rural, and infrastructure finance. With a strong commitment to digital transformation and data-led decision making, we offer a dynamic workplace where your contributions shape the financial future of millions. Join us to be a part of an organization that values growth, integrity, and impact.

PROFESSIONAL SUMMARY

Detail-oriented Data Quality Engineer with 46 years of experience in implementing and managing data quality frameworks within BFSI or NBFC domains. Skilled in profiling, validating, and enforcing business data rules to maintain high data integrity across critical financial domains such as loans, customer onboarding, and collections. Proven ability to collaborate with data governance, compliance, and engineering teams to support analytics and regulatory reporting.

RESPONSIBILITIES

1. Define, implement, and maintain data quality rules and KPIs across retail and corporate finance domains.
2. Conduct data profiling and discovery on key business datasets (e.g., customer, product, transactions) to identify quality gaps.
3. Build data scoring mechanisms to continuously assess data accuracy, completeness, and timeliness.
4. Work with Data Stewards, Owners, and Business Teams to translate quality expectations into automated rules.
5. Document and maintain rule definitions and mappings in metadata management platforms or governance tools.
6. Support data issue resolution workflows, root cause analysis, and continuous improvement.
7. Align quality controls with RBI guidelines, regulatory audit readiness, and internal risk frameworks.
8. Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake.
9. Define roles and responsibilities for data stewards and custodians.
10. Train and evangelize data governance practices across departments.
11. Support audit and compliance reporting through accurate data lineage and usage logs.
12. Ensure business continuity with proper data backup, archival, and purging strategies.
13. Align governance goals with broader digital transformation and analytics strategies.

TECHNICAL SKILLS

• Hands-on experience with any one of the DQ tools (Ab Initio DQE (preferred), Informatica DQ, Talend DQ, etc.)
• Strong knowledge of Business Rule Engines (BRE) and data profiling
• SQL proficiency and understanding of data pipelines (ETL/ELT)
• Familiarity with metadata standards, data ownership models, and data governance frameworks
• Prior exposure to NBFC processes (e.g., loan origination, collections, credit bureau integration) is a plus
• Ab Initio experience is preferred but not mandatory
• Proficient in querying and validating data using SQL or similar languages.
• Experience working in or with data warehouse environments like BigQuery, or GCP-based lakes.
• Shell Scripting, Python, JSON, Java 8 & above, Spring Boot, REST APIs, GCP, Debugging skills, Design.
• GEN AI, LLM, RAG, Agentic RAG are preferred.

1. Collaboration & Communication:

• Proven ability to collaborate with cross-functional teams including business, compliance, risk, and engineering.
• Strong documentation and requirement gathering skills to align technical governance with business objectives.
• Skilled in stakeholder management and articulating data governance value to non-technical audiences.
• Experience driving adoption of governance practices across enterprise functions.

1. Personality Traits & Leadership:

• Detail-oriented with a strong sense of data integrity and accuracy.
• Self-driven, with the ability to take ownership and lead governance initiatives independently.
• Process-oriented thinker with a structured approach to problem-solving.
• Influencer with the ability to promote data discipline across teams.
• Demonstrates professional integrity, especially while handling sensitive financial and customer data.
• Adaptable to change and comfortable working in a fast-paced NBFC environment.

QUALIFICATIONS

1. BE/B. Tech and/or M. Tech in any discipline
2. 4-6 years of industry experience and 4-6 years in any Data Governance Quality tool (preferred is Ab Initio)
3. Strong problem-solving skills.
4. Good collaboration skills.
5. Good communication skills.
6. Good leadership skills.