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Data Quality Engineer (Python) (Hybrid Setup)

Details of the offer

Functions:

A. Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)
Work with business subject matter experts and data developers to create data testing strategies
? Develop automated tests for data assets
? Design, monitor and maintain data quality reports, KPIs & trends for the internal data systems
? Create data quality test plans and test cases
? Execute and automate data quality test cases, and perform bug tracking
? Help create and implement data quality processes and requirements
? Analyze large and complex data for quality issues relating to uniqueness, completeness, validity, consistency, timeliness, integrity, and accuracy
? Collaborate with data engineers, application developers, business owners, business subject matter experts, and data operations team to ensure the accuracy of production data pipielne designs and implementations
? Support the development and implementation of data quality management policies and best practices for improving the overall health of enterprise data
? Share Data Quality knowledge and best practices with team members and others throughout the organization
? Maintain and apply a working knowledge of industry best practices, testing tools, and techniques

B. Displays (The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed)
? Outstanding interpersonal and communication skills; ability to communicate effectively with technical and non-technical audiences
? Strong knowledge of data governance frameworks and principles
? Strong knowledge of internal auditing methodologies
? Result oriented, willing to commit to a direction and drive operations to completion
? Able to manage adversity and challenging situations
? Able to develop cooperative and constructive working relationships
? Able to handle complaints, settle disputes and resolve conflicts and negotiate with others
? Highly developed skills in priority setting and alignment of project priorities with strategy
? Able to breakdown complex problems and projects into manageable goals
? Able to get the root cause of complex issues and develop sound and timely resolutions
? Ability to retain strategic direction in a rapidly evolving company culture
? Attention to detail

C. Delivers (The specific outputs / tangible results produced by the role; resources responsible for)
? Write data quality test plans and routines
? Develop and maintain data quality reports, KPIs, and trends
? Raises data quality issues ticket to the data operations team and clears open data quality issues once remediation is applied

KPIs
? Data quality metrics
? Data quality ticket closure rate
? Data quality enablement and empowerment

Qualifications:
? Bachelors in Computer Science or Information Systems or 2+ years' experience with corporate data management systems in high-compliance contexts
? Data management related certifications (e.g., CDMP certification) is a plus
? Ability to read/write SQL queries
? Experience working in a Big Data environment, dealing with large diverse data sets
? Familiarity with Python is a plus
? Demonstrates knowledge of structured testing methodology, with a proven ability to break down business requirements/functional/non-functional requirements into high and detailed test cases and test scenarios.
? Strong communication / organizational skills, analytical ability, and attention to detail.


Nominal Salary: To be agreed

Source: Whatjobs_Ppc

Requirements

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