Senior Data Engineer

hace 2 semanas

Tlaquepaque, México Hewlett Packard A tiempo completo

**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.**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.LI-POST

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