Job Description
KEY ACCOUNTABILITIES
- Design develop and maintain data quality rules metrics and dashboards
- Identify analyze and resolve data quality issues and anomalies using data profiling data cleansing and data governance practices
- Provide production support for data quality tools including monitoring jobs troubleshooting rule execution failures managing incident tickets and ensuring timely resolution of operational issues.
- Collaborate with data engineers business analysts and business stakeholders to understand data requirements sources and flows
- Implement data quality best practices and standards across the data lifecycle
- Monitor and report on data quality performance and trends
- Conduct data quality audits and assessments and provide recommendations for improvement
- Providing guidance and support to business units on data governance and data quality best practices.
- Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
- Promote and operationalize data quality monitoring and rule management together with issue management.
- Provide training to users on tools to promote awareness and adherence.
- Collaborating with data owners and data stewards to ensure data quality practices is implemented and followed.
EXPERIENCE / QUALIFICATIONS
- At least 5-8 years of hands-on experience with a Data Quality tool /Informatica Databricks Microsoft Power BI
- Strong technical skills in data and database management with proficiency in data wrangling analytics and transformation using Python and SQL
- Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders.
- Curious analytical and able to think critically to solve problems
- Detail-oriented and comfortable dealing with complex structured and unstructured datasets
- Clear and effective communication skills with an ability to communicate complex ideas and manage stakeholder expectations
- Strong organizational and prioritization skills adaptable and able to work independently as required
Required Skills:
InformaticaInformatica AdministrationIDQSQLPythonCollibra
Job Description KEY ACCOUNTABILITIES Design develop and maintain data quality rules metrics and dashboards Identify analyze and resolve data quality issues and anomalies using data profiling data cleansing and data governance practices Provide production support for data quality tools including mon...
Job Description
KEY ACCOUNTABILITIES
- Design develop and maintain data quality rules metrics and dashboards
- Identify analyze and resolve data quality issues and anomalies using data profiling data cleansing and data governance practices
- Provide production support for data quality tools including monitoring jobs troubleshooting rule execution failures managing incident tickets and ensuring timely resolution of operational issues.
- Collaborate with data engineers business analysts and business stakeholders to understand data requirements sources and flows
- Implement data quality best practices and standards across the data lifecycle
- Monitor and report on data quality performance and trends
- Conduct data quality audits and assessments and provide recommendations for improvement
- Providing guidance and support to business units on data governance and data quality best practices.
- Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
- Promote and operationalize data quality monitoring and rule management together with issue management.
- Provide training to users on tools to promote awareness and adherence.
- Collaborating with data owners and data stewards to ensure data quality practices is implemented and followed.
EXPERIENCE / QUALIFICATIONS
- At least 5-8 years of hands-on experience with a Data Quality tool /Informatica Databricks Microsoft Power BI
- Strong technical skills in data and database management with proficiency in data wrangling analytics and transformation using Python and SQL
- Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders.
- Curious analytical and able to think critically to solve problems
- Detail-oriented and comfortable dealing with complex structured and unstructured datasets
- Clear and effective communication skills with an ability to communicate complex ideas and manage stakeholder expectations
- Strong organizational and prioritization skills adaptable and able to work independently as required
Required Skills:
InformaticaInformatica AdministrationIDQSQLPythonCollibra
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