Job Description

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Essential Job Functions:

• Participate in data engineering tasks, including data processing and transformation.
• Assist in the development and maintenance of data pipelines and infrastructure.
• Collaborate with team members to support data collection and integration.
• Contribute to data quality and security efforts.
• Analyze data using data engineering tools and techniques.
• Collaborate with data engineers and analysts on data-related projects.
• Pursue opportunities to enhance data engineering skills and knowledge.
• Stay updated on data engineering trends and best practices.

Basic Qualifications:

• Bachelor's degree in a relevant field or equivalent combination of education and experience
• Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role
• Proven experience in data engineering
• Proficiencies in data engineering tools and technologies
• A continuous learner that stays abreast with industry knowledge and technology

Other Qualifications (a plus):

• Advanced degree in a relevant field a plus
• Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus

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 . '