COLLIBRA DATA QUALITY

• Configure, implement, and maintain Collibra Data Quality to support data quality initiatives.

• Conduct data profiling and analysis to identify data quality issues, data anomalies, and data improvement opportunities.

• Collaborate with business, IT, and data governance teams to understand data quality requirements and standards.

• Monitor and report on data quality trends and issues, providing actionable insights for continuous improvement.

• Develop and execute data quality jobs, including regular expressions (regex) to ensure data is fit-for-purpose based on operational and business data quality requirements.

• Design and implement data quality workflows, data quality scorecards, and data quality dashboards in Collibra.

• Provide technical expertise and support to business users and IT teams regarding Collibra Data Quality capabilities.

• Work closely with data engineers and data architects to implement data quality solutions within data pipelines and data warehouses.

• Participate in data quality improvement projects, helping to identify root causes and implementing corrective actions.

Requirement

• Strong background in IT with a passion for data quality and governance

• 3+ years of data strategy and data governance, preferably in a consulting environment.

• Bachelor’s Degree with strong data understanding through experience.

• Proven experience as a Data Quality Engineer or Data Quality Analyst, with specific expertise in Collibra Data Quality

• In-depth knowledge of data quality concepts, methodologies, and best practices.

• Hands-on experience in implementing and configuring Collibra Data Quality, including data quality rules, scorecards, and workflows.

• Proficiency in data profiling tools and data quality assessment techniques.

• Experience in configuration and connection to various data sources like GCP, SQL Server, SAP, etc.

• Strong SQL/Spark SQL skills for data analysis and data manipulation.

• Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams.

• Advanced analytical, problem-solving, negotiation and organizational skills with demonstrated ability to multi-task, organize, prioritize, and meet deadlines.

• Strong written/oral communication and presentation skills.

• Ability to explain value of data governance to both business and technical stakeholders.

• Ability to analyze complex environments, distill concepts and present to clients.

• Must be able to participate in calls and video meetings during the client’s business hours; video background must be business appropriate.

• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

Kindly share the updated Cv to lakshmi.r@geval6.com / lawanya.m@geval6.com, If interested.