Data Governance Senior Associate

PwC; Hyderabad, Gurugram District, Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

PwC Hyderabad is seeking a hands-on Data Engineer to design, develop, and maintain metadata processing, data lineage, and data quality solutions. You will implement data integration across metadata stores, collaborate with business analysts, data architects, and IT teams to ensure governance alignment and data integrity.

You will work with tools like Ab Initio Meta Hub, Informatica EDC, Alation, Collibra, and OvalEdge, and use React/Node/PySpark for data-oriented applications when needed.

Qualifications

• Experience with metadata processing and data governance tools.
• Hands-on experience with API integrations.
• Experience building ETL/ELT pipelines and data quality processes.
• Proficiency in SQL and scripting (Unix shell).
• Experience collaborating with data analysts and data architects.

Responsibilities

• Design, develop, and maintain metadata processing solutions.
• Develop and implement data integration for metadata, lineage, and quality.
• Ensure data quality and monitor data quality metrics across systems.
• Document data models and data mappings at various levels.
• Partner with IT and business stakeholders on governance initiatives.

Skills

Data governance

Data quality

Data lineage

Data analysis

Root cause analysis

Stakeholder engagement

Cloud data strategy

ETL/ELT pipelines

SQL querying

Unix shell scripting

Tools

Ab Initio Meta Hub

Informatica EDC

Alation

Collibra

OvalEdge

React.js

Node.js

PySpark

SQL

Unix scripting

Job description

Role & responsibilities :

Position Requirements

• Design, develop, and maintain metadata processing solutions using tools such as Ab Initio Meta Hub, Informatica EDC, Alation, Collibra, and OvalEdge software to support the client's data management policies and standards. Collaborate with business analysts and data architects to understand requirements.
• Develop and implement data integration solutions for metadata, data lineage, and data quality.
• Hands on experience with API integrations.
• Experience in development using React.Js, Node.js, PythonSpark, SQL (will be an added advantage).
• Hands-on experience in SQL query development for data analysis, along with proficiency in Unix and shell scripting.
• Experience in building/maintaining scalable ETL/ELT pipelines and implementing cloud data strategies using industry standard tools (will be an added advantage)
• Experience in developing integrations between governance tools; prior experience in this area is preferred.
• Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards.
• Identify, document, and manage data quality issues to ensure timely and effective resolution, while leading root cause analysis and implementing corrective actions to prevent recurrence of these issues.
• Develop custom data lineage solutions for complex technology platforms.
• Design, enhance, and sustain metadata and data pipelines to facilitate periodic data quality monitoring within the client's data management system.
• Conduct data analysis to identify, gather, and transfer data across various systems, integrating and linking diverse data sets to summarize and present insights and recommendations in the most suitable format for stakeholders.
• Document data models at physical, logical, and conceptual levels to support bank-wide IT and analytics issue identification and development.
• Analyze, document, and resolve issues identified from data mapping and data conversions, and manage stakeholder engagement to resolve them with both business and IT SMEs.
• Partner with IT and business to design and implement data lineage and Data quality solutions that adhere to the Clients data principles and governance framework.
• Partner with business to translate business criteria into technical data quality rules.
• Support and influence the definition of clear goals to improve data collaboration, data lineage, data quality and reduce data architecture complexity and information security risks.

This role focuses on designing, developing, and maintaining metadata processing, data lineage, and data quality solutions using various tools to support organizational data management policies. Responsibilities include implementing data integration and quality processes, resolving data issues through root cause analysis, documenting data models, and collaborating with business and IT stakeholders to ensure compliance with data governance frameworks and improve data integrity and security.