Key responsibilities will include: - Design develop and implement data quality strategies processes and tools - Analyze our data model and infrastructure spotting gaps and suggesting architectural improvements - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling data cleansing and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics dashboards and reports to supervise data quality performance - Collaborate with data engineers data analysts and other collaborators to define data quality requirements and standard processes - Ensure high performance privacy security scalability and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation
Overall 10 years building enterprise level applications on large-scale distributed systems
Experience as a Data Quality and Governance Engineer or a similar role
Proficiency in data profiling or data cleansing or data validation techniques
Deep SQL expertise data modeling or experience with data governance
Bachelors degree in Computer Science Information Systems or a related field
Experience with data quality and governance tools such as Informatica (other tool experience can also be considered)
Strong analytical and problem-solving skills
Strong understanding of data quality principles practices and methodologies
Self-starter able to handle ambiguity identify risks troubleshoot and find the right people and tools to get the job done
Familiarity with REST APIs
Familiarity with CI/CD pipelines
Demonstrate an understanding of development processes and agile methodologies
Familiarity with programming languages like Python or Java
Experience in enterprise-ready Cloud data warehousing platforms like Snowflake is highly valued
Knowledge of machine learning and statistical analysis
Experience with cloud data platforms (e.g. AWS Azure)
Certifications in data governance or master data management domain
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