25 ago
|
Prosigliere
|
Argentina
25 ago
Prosigliere
Argentina
We are looking for a highly skilled Senior Data Engineer to join our team. In this role, you will play a key part in designing, building and maintaining our data platform and the data-driven systems that power reporting and analytics across the company.
This is a hands-on role where you will contribute to technical decisions, collaborate closely with the team and help improve our data ecosystem. You will work across data engineering and analytics-enablement use cases, helping transform raw operational data into clean, reliable, business-ready data that decision-makers can trust.
Responsibilities
Design, build and maintain scalable and reliable data pipelines and infrastructure on Google Cloud Platform (GCP).
Develop and optimize ETL/ELT processes using Cloud Composer (Airflow) and Dataflow to ingest, transform and load data efficiently (incremental/delta loads via change-tracking/CDC patterns, plus full bulk-refresh patterns).
Model and maintain the data warehouse on BigQuery, authoring and optimizing views, scheduled queries, stored procedures and UDFs across the ingestion,
transformation and reporting datasets.
Write production-ready SQL (BigQuery Standard SQL) and Python to support data workflows, transformations and automation.
Own the CI/CD for the warehouse: dataset/table schema-as-code (e.g. Terraform or Dataform), BigQuery deployment pipelines, GitHub Actions workflows, and least-privilege Workload Identity Federation/IAM service accounts for deploys.
Own the reporting-layer publish automation/CI (Python + GitHub Actions) and the BigQuery views/LookML that feed reporting, partnering with the BI Analyst who drives requirements and validates output.
Ensure data quality, accuracy and consistency through validation, monitoring (e.g. Cloud Monitoring/Logging, dbt tests or similar) and testing practices.
Collaborate with engineers, analysts and business stakeholders to translate business requirements into scalable technical solutions.
Participate in code reviews
📌 Data Engineer (Argentina)
🏢 Prosigliere
📍 Argentina