Senior Data Engineer

Senior Data Engineer

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

Within HPE, our Operations, Legal and Admin teams work across the business, providing visible accountability and measurable outcomes. With a variety of roles and responsibilities these teams really connect the dots, giving us the essential insights, support and capability to accelerate our transformation to be the world’s edge to cloud company. Join us redefine what’s next for you.

Job Family Definition:

Analyzes customer information requirements and product specifications to define technical content strategy and plan. Designs and develops written and/or visual product-related information – hard copy, web - (e.g., user/configuration/troubleshooting guides), and online information (interactive demos, help systems) integrated into product, for a variety of audiences (end user, system administrators, internal support engineers, product developers, training developers). Codes, builds, compiles, and tests online information and/or sets-up, loads and tests systems hardware to create information deliverables and provide feedback on ease of use and user interfaces to product development. As customer advocate, helps define/refine product requirements. Develops standards and style documents and templates, scripts, style sheets, and script and graphic libraries to ensure common look and feel. Interfaces with cross-functional areas as a member of the product development team, such as marketing, test, support, and manufacturing.

Management Level Definition:

Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

What you'll do:

• Conceptualizes, builds, develops, and enhances a clients’ analytical models.  Determines the right modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.

• Design and engineer application solutions.

• Can work with multiple databases and big data solutions.

• Standardize ELT, BI, governance, and analytics.

• Technically lead, design, develop distributed, high-throughput, low-latency, and highly available solutions.

• Understand business requirement to build reliable application solutions.

• Work with the data engineering team to develop & maintain data pipelines.

• Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards.

• Develop tools for better discovery and consumption of data.

• Work with data scientists and the business analytics team to assist in data ingestion and data-related technical issues.

What you need to bring:

Education and Experience Required:

• Typically a first-level university degree in technical communications, computer science, or a related technical/communications field and a minimum of 8+ years of related experience or an advanced university degree and a minimum of 6 years of experience or equivalent.

• Knowledge of tools and technologies relevant throughout the division or across divisions.

• Represents the company in professional associations, e.g., STC, ASM-SIGDOC, IEEE, and technology standards committees such as the DocBook Standards Committee.

Knowledge and Skills:

• Expert Python

• Expert SQL

• Expert ETL/ELT

• Expert Visual Studio

• Source Control GIT/TFS

• Relational Databases

• Data Mart/Warehousing

• Data Modeling

• Power BI/Qlik

• Understanding of big data environments (Hadoop, Kafka, Hive, spark)

• Knowledge of Celonis is a plus.

• Working knowledge of Dataiku is a plus

#legalandadmin

Accountability, Accountability, Active Learning, Active Listening, Administrative Procedures, Agile Methodology, Agile Scrum Development, Bias, Business, Coaching, Company Policies, Creativity, Critical Thinking, Data Analysis Management, Data Collection Management (Inactive), Deliverables Management, Design, Design Thinking, Document Controls, Empathy, External Customers, File Maintenance, Follow-Through, Group Problem Solving, Growth Mindset {+ 5 more}

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india

Job:

Engineering Services

Job Level:

Master

    

    

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.