
Data Engineer
You will work with data engineers and architects to establish secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data platforms, repositories, or models for structured and unstructured data. Design and determine coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Review and evaluate designs and project activities for compliance with architecture, security, and quality guidelines and standards. You will collaborate and communicate with project team, peers, engineers, and data scientists regarding your project progress and issue resolution. You will define and lead portions of project requirements for data exchanges and business requirements with your internal and external teams.
Bringing your knowledge of AWS services (EC2, Lambda, RDS, S3, SQS, Kinesis, EKS, and EMR).
Working with data lake formats such as Parquet and Delta Lake.
Clear understanding of database technologies, data structures, and management systems that will help your team succeed.
Understanding the Databricks and Apache Spark platforms.
Managing your infrastructure using frameworks such as Docker, Kubernetes, ands ECR.
Sql
Python
Java
Scala
Ruby
RESTful APIs
Time Management Skills
Architect of large-scale data solutions
Strong analytical and skills
Verbal communication
Driven and self-motivated
Prioritizing skills
written communication
Flexibility/Adaptability
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Data Engineer in Hewlett-Packard Cafeteria, 8000 Foothills Blvd, Roseville, CA 95747, USA is between $93,000 and $127,000 per year.
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The Hewlett-Packard Company or Hewlett-Packard is an American multinational information technology company headquartered in Palo Alto, California.

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