We are seeking an experienced Cloud Data Quality Developer to develop, implement, and maintain data quality processes using Informatica Data Quality or similar tools. Key responsibilities include data profiling, cleansing, enrichment, de-duplication, and validation. The role involves collaborating with data architects and engineers to define data quality requirements and metrics, monitoring data quality issues, designing dashboards and reports, and ensuring compliance with data governance practices. The ideal candidate will have a minimum of 5 years of experience, proficiency in SQL and scripting languages, strong problem-solving skills, and excellent communication and collaboration abilities. Experience with cloud data platforms is also required.
Key Responsibilities:
Develop, implement, and maintain data quality processes using Informatica Data Quality or similar tools.
Conduct data profiling, data cleansing, data enrichment, data de-duplication, and data validation.
Collaborate with data architects, data engineers, and other stakeholders to define data quality requirements and establish data quality metrics.
Monitor data quality issues, identify root causes, and implement corrective actions.
Design and implement data quality dashboards and reports to provide insights into data quality status and trends.
Ensure compliance with data governance and data management best practices.
Provide technical support and guidance to other team members on data quality-related matters.
Required Qualifications:
Minimum of 5 years of hands-on experience with Informatica Data Quality or similar tools.
Strong understanding of data quality concepts, methodologies, and best practices.
Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud).
Proficiency in SQL and scripting languages (e.g., Python, Shell scripting).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.
Informatica Data Quality, Data Profiling, Data Cleansing, Data Enrichment, Data De-duplication, Data Validation, Cloud Data Platforms (AWS, Azure, Google Cloud), SQL, Python, Shell Scripting