Analytics PH - P&G - Junior Data Platform Engineer

DXC Technology•Tacoma, WA

About The Position

Job Description: Essential Job Functions: • Diagnose, analyze, and resolve complex technical incidents and user queries related to archiving tools and platform. • Continuously monitor platform performance, maintain infrastructure, and execute upgrades to ensure stability. • Manage support tickets, provide 1st or 2nd level support, and coordinate with work with cross-functional teams on critical issues. • Assist in data engineering tasks, including data processing, transformation, and integration. • Use tools, scripting (e.g., Python), and Infrastructure as Code (IaC) to automate routine maintenance and deployments. • Create knowledge base articles, document procedures, and collaborate with product teams to improve functionality. • Manage user permissions, settings, and integrations to ensure optimal usage of the platform. • Develop a strong foundation in data engineering fundamentals. • Knowledge of cloud platforms (AWS, Azure), databases, and network protocols • Knowledge of different content and data management applications such as OpenText, Jivs, Docuware, Abbyy, Records Manager, KGS. Basic Qualifications: • Bachelor's degree in a relevant field or equivalent combination of education and experience • Typically, 1+ years of relevant work experience • Proficiencies in data engineering tools and technologies • A continuous learner that stays abreast with industry knowledge and technology • Strong verbal and written communication skills to update users and stakeholders Other Qualifications: • Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plus • Environment is fast-paced, often involving on-call duties to address urgent issues. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here. DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The world's largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates. Learn more about how we deliver excellence for our customers and colleagues at DXC.com.

Requirements

Bachelor's degree in a relevant field or equivalent combination of education and experience
Typically, 1+ years of relevant work experience
Proficiencies in data engineering tools and technologies
A continuous learner that stays abreast with industry knowledge and technology
Strong verbal and written communication skills to update users and stakeholders

Nice To Haves

Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plus
Environment is fast-paced, often involving on-call duties to address urgent issues.

Responsibilities

Diagnose, analyze, and resolve complex technical incidents and user queries related to archiving tools and platform.
Continuously monitor platform performance, maintain infrastructure, and execute upgrades to ensure stability.
Manage support tickets, provide 1st or 2nd level support, and coordinate with work with cross-functional teams on critical issues.
Assist in data engineering tasks, including data processing, transformation, and integration.
Use tools, scripting (e.g., Python), and Infrastructure as Code (IaC) to automate routine maintenance and deployments.
Create knowledge base articles, document procedures, and collaborate with product teams to improve functionality.
Manage user permissions, settings, and integrations to ensure optimal usage of the platform.
Develop a strong foundation in data engineering fundamentals.
Knowledge of cloud platforms (AWS, Azure), databases, and network protocols
Knowledge of different content and data management applications such as OpenText, Jivs, Docuware, Abbyy, Records Manager, KGS.