Data Engineering Analyst I: Build Pipelines & Insights

DXC Technology Company; Santiago; Hybrid; CLP 24,000,000 - 28,000,000; Full time

Job summary

DXC Technology is seeking a data engineer to contribute to data engineering tasks and projects, including data processing and data integration. You will support data pipeline development and maintenance while collaborating with colleagues to meet data requirements and ensure data quality.

The role involves assisting in data analysis for insights and reporting, following established data engineering standards, and pursuing opportunities for continuous learning and growth within the team.

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.

Responsibilities

• 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.

Skills

Data engineering

Data pipelines

Data quality

Learning mindset

Collaboration

Education

Bachelor's degree in a relevant field

Job description

DXC Technology is seeking a data engineer to contribute to data engineering tasks and projects, including data processing and data integration. You will support data pipeline development and maintenance while collaborating with colleagues to meet data requirements and ensure data quality.

The role involves assisting in data analysis for insights and reporting, following established data engineering standards, and pursuing opportunities for continuous learning and growth within the team.