Data Engineer for Data Governance – APIs developer

Hewlett-Packard Company; Tlaquepaque; On-site; MXN 779,490 - 1,212,541; Full time

Job summary

Hewlett-Packard Company in Tlaquepaque, Jalisco is looking for a skilled Data Engineer responsible for leading data collection processes and ensuring data integrity. You will lead project teams in the design and development of complex data solutions, providing domain-specific expertise and overseeing data governance applications.

The ideal candidate has 7-10 years of relevant experience and a degree in Computer Science or related fields, with proficiency in various programming languages and big data technologies.

Qualifications

• 7-10 years of experience in data analytics, data engineering, data modeling, or a related field.
• Experience in data collection procedures and data governance applications.

Responsibilities

• Lead project teams for design and development of data solutions.
• Review designs for compliance with guidelines and standards.
• Provide expertise in data systems for cross-organization projects.
• Drive integration of new technologies in big data.
• Collaborate with project teams for progress and issue resolution.

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)

Education

Four‑year or Graduate Degree in Computer Science, IT, Software Engineering, Statistics, or related discipline

Job description

This role is responsible for data collection procedures, including accurate and relevant data for data governance applications. The candidate needs to show proficiency in application configuration, application integrations and connectivity using APIs. The candidate needs to have experience in extracting and analyzing data and metadata from the primary and secondary database. The role ensures data integrity and compliance by performing data and metadata cleansing and data validations. The role performs root‑cause analysis and recommends or executes corrective actions when systems problems occur.

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.
• Lead the API solution design to enable systems connectivity to send and receive data / metadata from and to the application.
• 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.