
Data Engineer
3 weeks ago
Overview
DXC Technology is a Fortune 500 Global IT Services Leader with 130,000+ people in 70+ countries. We deliver mission critical IT services that transform global businesses and drive excellence for our customers, colleagues and communities. We focus on technology to modernize operations and enable transformation across our clients’ IT estates using cloud, applications, security, IT outsourcing, business process outsourcing and the modern workplace.
Accelerate your career and reimagine the possibilities with DXC
We foster a culture that encourages innovation and supports wellbeing, collaboration, and opportunity for career advancement. We emphasize continuous learning and the use of the latest technologies to help clients succeed.
DXC SMART First
“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.”
Responsibilities- Assist in data engineering tasks, including data processing, transformation, and integration.
- Contribute to data pipeline development and maintenance activities.
- Collaborate with team members on data-related projects to meet data requirements.
- Support data quality assurance efforts and adhere to data standards.
- Use data engineering tools and techniques to complete assigned tasks.
- Learn from more experienced team members and seek opportunities for skill development.
- Stay informed about emerging data engineering technologies and industry best practices.
- Develop a strong foundation in data engineering fundamentals.
- 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
- Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics, a plus
- Mid-Senior level
- Full-time
- Information Technology
- Industries: IT Services and IT Consulting
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