Job Purpose - HDFC Bank has huge volume of data, both structured and unstructured, and we are focused on creating assets out of data and deriving best value from the data for the Bank. The Data Remediation and DaaS specialist will be responsible for improving customer data quality through various internal data remediation methodologies. This role will also focus on designing, implementing, and maintaining global and local data marts on the Banks Data Lake to support business, marketing, credit & risk, analytics, regulatory, and other functional use cases. This role is crucial in ensuring high-quality customer data while enabling business functions with reliable and well-structured data marts. The ideal candidate will be someone with a passion for data quality, strong technical skills, and a strategic mindset to drive data-driven decision-making across the Bank.

Key Responsibility Areas :

Customer Data Quality Management • Analyze and assess data quality issues in customer records • Implement data cleansing, standardization, and deduplication strategies. • Define and enforce data quality rules, policies, thresholds, and validation checks. • Work with business, product, customer support and IT teams to resolve inconsistencies. • Monitor and improve data quality metrics (accuracy, completeness, and consistency) of customer data. • Standardize customer data formats across systems for golden record generation

Formulate Data Remediation Strategies • Develop and implement remediation frameworks for fixing data anomalies. • Conduct root cause analysis to identify sources of poor data quality. • Coordinate with internal stakeholders to drive data improvement initiatives.



• Implement automated data validations rules at source application for data cleansing • Continuously refine data remediation strategies based on business needs and technological advancements.

Data Mart Development &

Maintenance • Engage with multiple business, product, credit, risk, analytics, marketing, finance, BIU etc. stakeholders to discover

requirements of data marts alongwith the current challenges faced • Automate data pipelines for efficient data processing and retrieval both during ingress and egress of data from the Lake. • Design and build scalable global and local data marts on the Data Lake / Data LakeHouse with tech support from BSG / IT. • Ensure seamless integration of customer data across multiple platforms. • Develop data models, transformations, and aggregations to support analytics and reporting. • Develop Power BI dashboards on Data Lake to proactively identify any issues and monitor usage of marts created and deployed

Data Privacy • Ability and Agility to work on aspects related to implementation of Digital Personal Data Protection Act, 2023 in the organization. This would entail inclusion of data quality monitoring, auditing of systems and processes from DPDPA compliance perspective, etc.

Providing inputs and recommendation

on continuous improvement of policies,

procedures, processes, standards, and





control pertaining to Data Marts Quantify the impact in business value terms (revenue/cost/loss) due to launch of global and local data mart products in the Bank.

Educational Qualifications & Key Skills

Masters in Engineering/Technology,

Business Administration, Economics,

Statistics, etc from a reputed

institutionDrive for results and tangible outcomes • Self-starter, having robust attention to detail and problem solving skills • Strong knowledge of data quality frameworks, data cleansing, and remediation techniques • Proficiency in SQL, Python, or other data manipulation languages • Experience with ETL tools, data lakes, and data warehousing solutions • Understanding of data modeling and database design • Knowledge of data governance, compliance, and regulatory reporting requirements • Experience with data visualization and reporting tools (Tableau, Power BI, etc.) • Effective stakeholder management with cross-functional teams • Strong analytical and problem-solving skills • Excellent communication and documentation skills

Experience Required

- 7 years to 15 years of total work experience in Data Mart / Pipeline / Analytics creation / Working in DPDPA

space

- 7+ years of experience in Banking and Financial services
- Experience of working in large, multi-functional, matrix organization
- Strong technical & functional understanding of Data Remediation and Data Products that includes Staging,

Mapping, Cleanse Function, Match Rules, Validation, Trust Scores, Remediation Techniques, Mart creation

methodologies & best practices etc

- Experience with industry-leading reference & master data/metadata/data quality suites

📌 Data-as-a-Service Associate (Mumbai)
🏢 HDFC Bank
📍 Mumbai