Oracle Data Quality Analyst (Surat)

Experience: 7+ Years Job Description: - Analyze, monitor, and improve data quality across Oracle databases and enterprise applications. - Perform data profiling, data cleansing, validation, and standardization to ensure accuracy and consistency. - Develop and implement data quality rules, validation frameworks, and monitoring processes. - Identify data anomalies, duplicates, missing values, and integrity issues, and recommend corrective actions. - Collaborate with business, data governance, and technical teams to resolve data quality issues. - Perform root cause analysis and support data remediation initiatives. - Validate data during ETL/ELT, migration, and system integration projects. - Prepare data quality dashboards, scorecards, and reports for stakeholders. - Ensure compliance with data governance, security, and regulatory standards. - Create and maintain documentation, data quality metrics, and standard operating procedures. Required Skills: - Robust experience with Oracle Database, SQL, and PL/SQL. - Hands-on experience in data profiling, cleansing, validation, and reconciliation. - Knowledge of ETL/ELT processes and Data Warehousing concepts. - Experience with Oracle Enterprise Data Quality (EDQ) or similar data quality tools. - Understanding of Data Governance, Master Data Management (MDM), and metadata management. - Strong analytical, problem-solving, and troubleshooting skills. - Experience with reporting and visualization tools such as Oracle Analytics Cloud (OAC), Power BI, or Tableau is an advantage. - Familiarity with Linux/Unix environments and scripting (Shell/Python) is preferred. Preferred Skills: - Oracle Enterprise Data Quality (EDQ) - Oracle Data Integrator (ODI) - Oracle GoldenGate - Oracle Analytics Cloud (OAC) - Data Governance Frameworks - Master Data Management (MDM) - Power BI or Tableau - Python/Shell Scripting - Data Migration & ETL Testing - Oracle Cloud Infrastructure (OCI) Preferred Certifications - Oracle Certified Professional Experience: 7+ Years Job Description: - Analyze, monitor, and improve data quality across Oracle databases and enterprise applications. - Perform data profiling, data cleansing, validation, and standardization to ensure accuracy and consistency. - Develop and implement data quality rules, validation frameworks, and monitoring processes. - Identify data anomalies, duplicates, missing values, and integrity issues, and recommend corrective actions. - Collaborate with business, data governance, and technical teams to resolve data quality issues. - Perform root cause analysis and support data remediation initiatives. - Validate data during ETL/ELT, migration, and system integration projects. - Prepare data quality dashboards, scorecards, and reports for stakeholders. - Ensure compliance with data governance, security, and regulatory standards. - Create and maintain documentation, data quality metrics, and standard operating procedures. Required Skills: - Robust experience with Oracle Database, SQL, and PL/SQL. - Hands-on experience in data profiling, cleansing, validation, and reconciliation. - Knowledge of ETL/ELT processes and Data Warehousing concepts. - Experience with Oracle Enterprise Data Quality (EDQ) or similar data quality tools. - Understanding of Data Governance, Master Data Management (MDM), and metadata management. - Strong analytical, problem-solving, and troubleshooting skills. - Experience with reporting and visualization tools such as Oracle Analytics Cloud (OAC), Power BI, or Tableau is an advantage. - Familiarity with Linux/Unix environments and scripting (Shell/Python) is preferred. Preferred Skills: - Oracle Enterprise Data Quality (EDQ) - Oracle Data Integrator (ODI) - Oracle GoldenGate - Oracle Analytics Cloud (OAC) - Data Governance Frameworks - Master Data Management (MDM) - Power BI or Tableau - Python/Shell Scripting - Data Migration & ETL Testing - Oracle Cloud Infrastructure (OCI) Preferred Certifications - Oracle Certified Professional