Data Engineer
Aviso de fuente externaen Prosigliere
Join Prosigliere as a Data Engineer, building GCP data pipelines, BigQuery warehouse systems and reporting automation with SQL and Python.
Salario
No especificado
Ubicación
Buenos Aires, Argentina
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Data Engineer
Buenos Aires, Argentina
Descripción del empleo
About the role
Prosigliere is looking for a highly skilled Senior Data Engineer to help design, build and maintain its data platform and the data-driven systems that power reporting and analytics across the company. This hands-on role involves contributing to technical decisions, collaborating with the team and improving the data ecosystem. The work spans data engineering and analytics enablement, transforming raw operational data into clean, reliable, business-ready data that decision-makers can trust.
Responsibilities
- Design, build and maintain scalable, reliable data pipelines and infrastructure on Google Cloud Platform (GCP).
- Develop and optimize ETL/ELT processes using Cloud Composer (Airflow) and Dataflow, including incremental and delta loads via change-tracking or CDC patterns, as well as full bulk-refresh patterns.
- Model and maintain the data warehouse on BigQuery, authoring and optimizing views, scheduled queries, stored procedures and UDFs across ingestion, transformation and reporting datasets.
- Write production-ready SQL (BigQuery Standard SQL) and Python for data workflows, transformations and automation.
- Own warehouse CI/CD, including dataset and table schema-as-code (such as Terraform or Dataform), BigQuery deployment pipelines, GitHub Actions workflows, and least-privilege Workload Identity Federation and IAM service accounts for deployments.
- Own reporting-layer publishing automation and CI using Python and GitHub Actions, along with the BigQuery views and LookML that feed reporting. Partner with the BI Analyst, who drives requirements and validates output.
- Ensure data quality, accuracy and consistency through validation, monitoring and testing practices, such as Cloud Monitoring/Logging and dbt tests or similar.
- Collaborate with engineers, analysts and business stakeholders to translate business requirements into scalable technical solutions.
- Participate in code reviews and...
Datos clave
- Design, build and maintain data pipelines and infrastructure on Google Cloud Platform.
- Develop ETL/ELT processes using Cloud Composer (Airflow) and Dataflow.
- Model and maintain the data warehouse on BigQuery.
- Write production-ready BigQuery Standard SQL and Python.
Preguntas frecuentes
What does the role involve?
The role focuses on designing, building and maintaining the data platform and systems that support company reporting and analytics.
Which technologies are mentioned?
The listing mentions Google Cloud Platform, Cloud Composer (Airflow), Dataflow, BigQuery, SQL and Python.
How does the role support reporting?
It includes owning reporting-layer publishing automation and CI, plus the BigQuery views and LookML that feed reporting, in partnership with the BI Analyst.