Job Description:
Essential Job Functions:
• Contribute to data engineering tasks and projects, including data processing and data integration.
• Support data pipeline development and maintenance.
• Collaborate with colleagues to meet data requirements and ensure data quality.
• Assist in data analysis for insights and reporting.
• Follow data engineering standards and best practices.
• Pursue opportunities for continuous learning and growth in the data engineering domain.
• Learn from experienced data engineers and analysts within the team.
• Use data engineering tools and techniques to accomplish tasks.
Basic Qualifications:
• Bachelor's degree in a relevant field or equivalent combination of education and experience
• Typically, 2+ years of relevant work experience
• 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:
• Advanced degree in a relevant field a plus
• Relevant certifications, such as Google Cloud Professional Data Engineer or Cloudera Certified Data Analyst 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 here.