Data Engineer

This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

Job Description:

Job DescriptionJob Description

Hewlett Packard Enterprise (HPE) advances the way people live and work. We bring together curious minds to create breakthrough technology solutions, helping our customers make their mark on the world.

Our new innovative IT services organization is HPE PointNext. We have the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. We aim to ensure our valued clients have the most effective solution to suit the demands on a dynamic and fast-paced, modern business and the expertise to achieve maximum business benefit.

Role- Data Engineer
Experience Level: 5+

Should have the following Mandatory skills:

• Good working experience in SOLR and Elastic Search
• Good in Machine learning & NLP techniques with work experience.
• Excellent experience in data processing using Python
• Experience with relational SQL, NoSQL DB, Streaming and ETL.
• Experience with integration of data from multiple data sources.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Experience in data ingestion, cleaning and processing tools.
• Proficient in Big data tools and ecosystem for data analytics, including Spark, Kafka
• Highly organized, self-motivated, pro-active & quick learner.
• AWS, Azure Databrics knowledge/training/certification is a plus.

Responsibilities:

• Understand business requirement to build reliable data infrastructure using big data technologies
• Work with the data engineering team to develop & maintain data pipelines for batch & stream processing.
• Build tools suitable to provide data 24x7 for a global team, thru acquiring, monitoring and root cause analysis of data issues
• Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
• Build tools for better discovery and consumption of data for various consumption models in the organization – DataMarts, Warehouses, APIs, Adhoc Data explorations
• Architect and create data views from big data store to feed into visualization analysis engines, engines etc.
• Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues

Job:
Services

Job Level:
Expert

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

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories