Data Quality Developer

Job Summary We are seeking an experienced Data Quality Developer to support enterprise Data Governance initiatives by implementing and maintaining data quality frameworks, rules, and controls across critical business datasets. The ideal candidate will have handson experience with Data Quality tools such as Informatica Data Quality or Collibra, strong SQL and Python skills, and a solid understanding of data governance, data engineering, and cloudbased data platforms. The role involves collaborating with business, governance, and engineering teams to improve data quality, resolve data issues, and ensure compliance with enterprise standards and security requirements. Key Responsibilities Implement and maintain Data Quality rules, validations, and configurations using Informatica, Collibra, or similar Data Quality platforms. Analyze datasets and develop connectors to various structured and unstructured data sources. Collaborate with business and engineering teams to identify critical datasets and define data quality requirements. Monitor, investigate, and resolve data quality incidents and perform root cause analysis. Support enterprise Data Governance initiatives and ensure alignment with governance standards. Develop and optimize SQL queries for data profiling, validation, and analysis. Build and maintain ETL/ELT processes to support data quality assessments and remediation activities. Work with relational and NoSQL databases to analyze and validate data quality issues. Support data quality implementation across cloud platforms, including Azure environments. Participate in Agile/SAFe ceremonies and collaborate with onsite and offshore teams. Ensure compliance with security policies, data protection standards, and Office Information Security (OIS) requirements. Prepare technical documentation, issue logs, remediation reports, and governance artifacts. Proactively manage deliverables, timelines, stakeholder communications, and project documentation. Required Skills & Experience Bachelors Degree in Computer Science, Information Technology, or related field. 58 years of experience in Data Quality implementation and Data Governance initiatives. Handson experience with: Informatica Data Quality (IDQ), Collibra, or similar Data Quality tools SQL query development and optimization Python programming ETL/ELT tools and data pipelines Strong understanding of: Data Governance concepts Data Quality frameworks and controls Data Warehouses, Data Lakes, and Lakehouse architectures Data Modeling (Dimensional and Relational) Experience with: Relational databases (SQL Server, Oracle, PostgreSQL) NoSQL databases Azure cloud data platforms Databricks for batch and near realtime data processing Excellent analytical, troubleshooting, and problemsolving skills. Strong communication and stakeholder management capabilities. Experience working in Agile/SAFe delivery environments. Preferred Skills Experience with Collibra Data Quality. Knowledge of metadata management, lineage, and governance frameworks. Experience with Azure Data Factory, Azure Data Lake, and Databricks. Exposure to Banking, Financial Services, or regulated industries. Relevant certifications in Data Governance, Collibra, Informatica, Azure, or Databricks. Job Summary We are seeking an experienced Data Quality Developer to support enterprise Data Governance initiatives by implementing and maintaining data quality frameworks, rules, and controls across critical business datasets. The ideal candidate will have handson experience with Data Quality tools such as Informatica Data Quality or Collibra, strong SQL and Python skills, and a solid understanding of data governance, data engineering, and cloudbased data platforms. The role involves collaborating with business, governance, and engineering teams to improve data quality, resolve data issues, and ensure compliance with enterprise standards and security requirements. Key Responsibilities Implement and maintain Data Quality rules, validations, and configurations using Informatica, Collibra, or similar Data Quality platforms. Analyze datasets and develop connectors to various structured and unstructured data sources. Collaborate with business and engineering teams to identify critical datasets and define data quality requirements. Monitor, investigate, and resolve data quality incidents and perform root cause analysis. Support enterprise Data Governance initiatives and ensure alignment with governance standards. Develop and optimize SQL queries for data profiling, validation, and analysis. Build and maintain ETL/ELT processes to support data quality assessments and remediation activities. Work with relational and NoSQL databases to analyze and validate data quality issues. Support data quality implementation across cloud platforms, including Azure environments. Participate in Agile/SAFe ceremonies and collaborate with onsite and offshore teams. Ensure compliance with security policies, data pro