Job description:

As a Data Quality Engineer specializing in Collibra Data Quality, you will play a critical role in ensuring the accuracy, completeness, and reliability of data within our organization. Your primary responsibility will be to implement and maintain Collibra Data Quality solutions, conduct data profiling and analysis, define data quality rules, and collaborate with various teams to improve data quality. You will also work closely with data stewards and data governance teams to enforce data quality best practices and promote a culture of data quality awareness.
Responsibilities:
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.
Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Quality Engineer or Data Quality Analyst, with specific expertise in Collibra Data Quality Center ( Owl DQ) or other DQ tools such as Informatica, InfoAnalyzer, Ataccama.
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
Familiarity with data governance principles and data stewardship processes.
Strong SQLSpark SQL skills for data analysis and data manipulation.
Excellent problem-solving skills and attention to detail.
Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams.
Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

• To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
• To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects.
• To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
• To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.