Data Quality and Governance Engineer

Description -

Job Title: Data Quality and Governance Engineer

This role is responsible for data collection procedures, including accurate and relevant data for reporting, analytics and machine learning models. Extracting and analysing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role is responsible for tracking the flow of data from its origin to its destination and record metadata about the data assets and transformations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur.

Responsibilities

• Review and evaluate data pipelines and engineering activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve data quality and mitigate failure risk.
• Develop and implement data governance strategies, policies, and procedures to ensure data quality.
• Establish data frameworks and guidelines to ensure accurate classification of data, ownership and lineage
• Leads for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
• Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
• Build KPIs and Metrics to measure and monitor data quality
• Represents the data engineering team for all phases of larger and more-complex development projects.
• Drives innovation and integration of new technologies into projects and activities in the big data space.
• Provides guidance and mentoring to less experienced staff members.

Education and Experience Required

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
• Has experience managing data pipelines, build monitoring solutions and administrative/governance tasks
• Experience in Metadata Management or Building Data Catalogs is an advantage

Knowledge & Skills

• Databricks
• PostgreSQL
• Amazon Web Services
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Extract Transform Load (ETL)
• Python (Programming Language)
• PySpark (Programming Language)
• SQL (Programming Language)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement