Data Engineer for Data Governance

hace 23 horas

Tlaquepaque, México Hewlett Packard A tiempo completo

**Job Summary**

**Responsibilities**
- Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data/meta data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
- Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
- Drives innovation and integration of new technologies into projects and activities in the big data space.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Design and build API solutions and other data and metadata systems integration following architecture guidance
- Represents the data engineering team for all phases of larger and more-complex development projects.
- Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
- Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
- Builds and manages relationships throughout the organization.
- Provides guidance and mentoring to less experienced staff members.

**Education & Experience** Recommended**
- 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.

**Preferred Certifications**
- Programming Language/s Certification (SQL, Python, or similar)

**Knowledge & Skills**
- Agile Methodology
- Amazon Web Services
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Big Data
- Computer Science
- Data Analysis
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Warehousing
- Extract Transform Load (ETL)
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- Python (Programming Language)
- Scala (Programming Language)
- Scalability
- 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.

**Disclaimer

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