Technology Jobs in Buenos Aires, Argentina (Now Hiring) — 382 open — Page 18

Our DXC Analytics and Engineering services empower customers to use data, design thinking and agile software development to embrace and overcome the most complex operational and technological challenges. At DXC you will join a team that provides best-in-class analytics and AI platform solutions, a culture of design thinking and Motivational UX™, a trademarked approach to innovation.

We are looking for a highly skilled Senior Data Engineer to support and evolve data platforms on Google Cloud Platform (GCP) and/or Microsoft Azure for a leading client in the paper industry.

This role is designed for professionals with strong technical expertise who can design, build, optimize, and maintain scalable, reliable, and efficient data solutions. The position requires working in complex enterprise environments, collaborating with cross-functional teams, and ensuring high-quality data delivery aligned with business needs.

Key Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines in cloud environments (GCP and/or Azure).
• Implement data ingestion, transformation, and modeling processes (ETL / ELT).
• Optimize performance, cost, and reliability of cloud-based data solutions.
• Handle large volumes of structured and unstructured data.
• Collaborate with Data Analytics, BI, Architecture, and Business teams to understand requirements and propose effective technical solutions.
• Ensure data quality, security, and governance best practices are applied.
• Participate in code reviews, technical standards definition, and documentation.
• Provide technical support and incident resolution in production environments.

Required Qualifications:

• Proven experience as a Senior Data Engineer or in similar roles.
• Strong expertise in cloud platforms, particularly:
  • Google Cloud Platform (GCP) (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.)
  • or Microsoft Azure (preferred/acceptable)
• Solid experience in ETL / ELT pipeline development.
• Advanced proficiency in SQL.
• Strong programming skills in Python (mandatory); knowledge of Scala or Java is a plus.
• Hands-on experience with data modeling (Data Warehouses, Data Lakes, Lakehouse architectures).
• Experience using version control systems (Git).
• Proven experience working in production environments, ensuring stability, performance, and troubleshooting.

Preferred Skills:

• Experience with distributed processing frameworks such as Apache Spark.
• Knowledge of modern data architectures (streaming, event-driven).
• Experience working with Agile methodologies (Scrum, Kanban).
• Understanding of cloud security and access management (IAM).
• Previous experience in manufacturing, industrial, or continuous process industries (nice to have).

Certifications (Plus):

• Google Cloud Professional Data Engineer
• Or equivalent cloud certifications

Languages:

• Intermediate to advanced English (preferred)
  • Not mandatory, but highly valued for collaboration with global teams and interaction with technical documentation and international stakeholders.

Key Competencies:

• Strong analytical and problem-solving mindset
• High level of ownership and accountability
• Excellent teamwork and communication skills
• Proactive attitude with a focus on continuous improvement
• Ability to adapt to dynamic, enterprise-level environments

Joining DXC connects you to brilliant people who embrace change and seize opportunities to advance their careers and amplify customer success. At DXC we support each other and work as a team — globally and locally. Our achievements demonstrate how we deliver excellence for our customers and colleagues. You will be joining a team that works to create a culture of learning, diversity and inclusion and are dedicated to strong ethics and corporate citizenship.