Graduate Data Engineer

Description -

Job Summary
This role is responsible for data collection procedures including accurate and relevant data for machine learning models extracting and analyzing data from the primary and secondary database. The role conceptualizes designs and develops analytics models in addressing complex business problems discovering insights and identifying opportunities that are of value to internal and external business stakeholders typically using a hypothesis-driven approach. The role codes tests debugs and documents complex programs and enhances existing programs to ensure that data processing production systems continue to meet user requirements.

Responsibilities
Codes limited enhancements updates and programming changes for portions and subsystems of data pipelines repositories or models for structured/unstructured data.
Analyzes design and determines coding programming and integration activities required based on objectives and guidance from senior project team members.
Executes established portions of testing plans protocols and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
Participates as a member of a project team of other data science professionals to develop reliable cost effective and high-quality solutions for assigned data system model or component.
Identifies complex areas to solve new technical problems and provides innovative technical solutions within data science and machine learning.
Codes tests debugs and documents simple programs and enhances existing programs to ensure that data processing production systems continue to meet user requirements.
Identifies opportunities and supports the development of automated solutions that will enhance the quality of enterprise data.
Executes data profiling and preventative procedures to improve data quality; uses technology to extract and analyze raw data.
Translates data into information and insights with clear scenario analysis and business impact and execution plan to drive impact.
Models and frames business scenarios that are meaningful and impact critical business processes and/or decisions.

Education & Experience Recommended
Four-year Degree in Computer Science Information Technology Software Engineering Statistics/ Mathematics or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 0-2 years of work experience preferably in data analytics data engineering data modeling or a related field.

Preferred Certifications
Programming Language/s Certification (SQL Python or similar)

Knowledge & Skills
Agile Methodology
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
Java (Programming Language)
Machine Learning
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 own work and acts as a team member by providing information analysis and recommendations in support of team efforts.

Complexity
Learns to apply basic theories and concepts to work tasks.

Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties skills responsibilities knowledge etc. These may be subject to change and additional functions may be assigned as needed by management.

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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.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal