Data Engineering on GCP

Worldwide | Sept. 1, 2026

Report as Closed

Company: DSAC Chile

Country: Worldwide

Salary: $30,000 - $42,000

Type: Remote

Employment: Full-time

Description: DSAC is a Chilean technology company specializing in the development of technology solutions, artificial intelligence, cybersecurity, and automation for companies seeking to improve their efficiency and make a real impact on their business. None

• 5+ years of experience in data engineering or similar roles.
• Verifiable experience developing data pipelines in cloud environments.
• Solid experience working with Google Cloud Platform (GCP). Proficiency in:
• BigQuery
• Dataflow
• Pub/Sub
• Cloud Storage
• Dataproc
• Composer
• Experience in:
• ETL/ELT processes
• Data lakes and data warehouses
• Data integration and transformation
• Batch and near real-time pipelines
• Advanced SQL skills.
• Experience in the financial industry, banking, or fintech.
• Experience working with sensitive data.

• Develop and maintain batch and near real-time data pipelines on Google Cloud Platform (GCP).
• Implement processes for data ingestion, transformation, and delivery for analytics and operational use.
• Build scalable and efficient ETL/ELT flows.
• Participate in the optimization of data processing and storage processes.
• Collaborate on the modeling and structuring of analytical datasets.
• Monitor and ensure the correct execution of pipelines and automated processes.

• Work with tools from the GCP ecosystem such as:
• BigQuery
• Cloud Storage
• Dataflow
• Pub/Sub
• Dataproc
• Cloud Composer
• Develop data integration solutions across multiple sources.
• Implement cloud-native development best practices.
• Participate in data platform modernization initiatives.

• Implement basic data quality and validation controls.
• Ensure traceability and consistency in data processes.
• Apply best practices for security and access control.
• Work with sensitive data in accordance with regulatory and compliance guidelines.
• Collaborate with data governance and architecture teams.

• Translate functional requirements into technical data solutions.
• Work closely with business, analytics, and technology teams.
• Participate in initiatives related to: *Customers *Financial products *Payments *Fraud *Risk

• Full-time (40.0 hours)
• No salary range

• GCP Associate or Professional Data Engineer certification.
• Experience with Python and/or PySpark.
• Knowledge of data modeling.
• Experience with visualization tools such as Looker.
• Experience in high-volume transactional environments.
• Basic knowledge of CI/CD and automation.
• Experience working with agile methodologies.

Apply here:

Web: Apply here

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