Senior Data Engineer

Description -

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
• 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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Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Mexico)

Travel -

Relocation -

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