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5 empleos
- Hewlett PackardTlaquepaque, Jal.·
- This role is responsible for FDL & Titan platform support and optimization.
- Requires expertise in Azure Cloud/Data bricks/ADLS/ADF & AI ML technologies.
- Ver todos los Empleos de Hewlett Packard - empleo en Tlaquepaque - Empleos de Data Engineer en Tlaquepaque, Jal.
- Búsqueda de sueldos: sueldos deSenior Data Engineer
- Ver preguntas y respuestas frecuentes sobre Hewlett Packard
- WizelineGuadalajara, Jal.·
- Design and develop highly scalable, performance-focused web applications using modern frameworks such as React, NextJs, and Node.js.
- WizelineGuadalajara, Jal.·
- 5+ years of experience with JavaScript development.
- Hands-on and leadership experience in developing secure and scalable enterprise applications.
- WizelineHome Office (Desde casa) in Guadalajara, Jal.·
- Golang: 5+ years of experience required.
- Clean code: clean code practices like knowing how to name things, separate functionality into clear defined functions,…
- CollectorsGuadalajara, Jal.·
- We're seeking engineers to utilize advanced technology in agile settings, with a focus on improving the customer experience for every collector.
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Job Post Details
Senior Data Engineer - job post
4.04.0 de 5 estrellas
Tlaquepaque, Jal.
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Ubicación
Tlaquepaque, Jal.
Descripción completa del empleo
Job Summary
- This role is responsible for FDL & Titan platform support and optimization. Requires expertise in Azure Cloud/Data bricks/ADLS/ADF & AI ML technologies.
This role needs to work across business partners/ service partners and Vendor Organization to optimize and solve platform issues.
Be a support SPOC for critical Finance applications in the AMS timezone.
Responsibilities
Education & Experience Recommended
Preferred Certifications
Knowledge & Skills
Cross-Org Skills
Impact & Scope
Complexity
Responsibilities
- Platform lead working with service partners and Vendors to ensure platform availability and performance.
- 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.
- Represents the data engineering team for all phases of larger and more-complex development projects.
- 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
- Azure Data Engineering certifications & Data Bricks
Knowledge & Skills
- Agile Methodology
- Apache Kafka
- Apache Spark
- Big Data
- Computer Science
- Data Analysis
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Warehousing
- Extract Transform Load (ETL)
- 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.
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