Description
We are seeking a highly skilled Data Governance and Data Quality Engineer to ensure the reliability, integrity, and trustworthiness of enterprise data assets. This role combines traditional data quality and governance practices with up-to-date data observability capabilities, leveraging tools such as Informatica Cloud Data Quality (CDQ) and Monte Carlo.

The ideal candidate will possess a robust foundation in data quality development and governance, along with hands-on experience implementing proactive monitoring, anomaly detection, and pipeline observability across cloud-based data ecosystems. This individual will collaborate closely with data engineering, analytics, and business teams to deliver high-quality, trusted data at scale.

Roles and Responsibilities
Design, develop, and maintain enterprise data quality and governance solutions using Informatica Cloud Data Quality (CDQ), ensuring compliance and data reliability.
Implement data quality rules, processes, and dashboards within the WESCO toolset (e.g., Informatica CDQ: Data Profiling, Mapplets, Rules,



Integrations).
Perform data profiling and analysis to identify and assess potential data quality issues.
Develop and execute data quality tests aligned with business requirements to ensure data is fit for purpose.
Provide expertise in data quality best practices to improve overall data quality across multiple data sources.
Define and maintain metadata standards; validate, cleanse, and ensure accuracy of project data.
Develop ETL pipelines and write advanced SQL (e.g., procedures, views, joins, unions, subqueries) to support data extraction and transformation.
Collaborate with stakeholders to understand business requirements and implement data integration and migration solutions.
Define and execute processes to monitor data quality policies and procedures, ensuring data integrity, privacy, and consistent data definitions.

Qualifications
Bachelor’s degree in Information Technology, Bus

📌 Engineer India Office Bengaluru
🏢 Wesco
📍 Bengaluru