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PDG-IT

Senior Data Engineer – GCP

PDG-IT

. Design and implement data ingestion, transformation, and orchestration pipelines on Google Cloud for both batch and streaming processes .

Posted 10/28/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing data ingestion and transformation pipelines on Google Cloud, with a strong focus on optimizing costs and ensuring data quality. Proficient in advanced SQL and Python for automation, with experience in data orchestration and integration from diverse sources.

Highest-signal resume keywords
Google Cloud Platform (GCP)BigQueryDataflow (Apache Beam)Advanced SQL ProficiencyPython Development Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IngestionData TransformationData OrchestrationAutomationETLReal-Time Data IntegrationBatch Data ProcessingCode Version ControlCI/CD PracticesData Governance
Soft Skills
CollaborationCommunication
Tools & Technologies
Cloud Composer (Airflow)DataformDbtGitDataprocNoSQL DatabasesDataplexData Catalog
Industry Keywords
Healthcare SystemsEHREMRRISLIS

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformHadoopMySQLNoSQLOraclePythonSparkSQL

About the role

Key responsibilities & impact
  • Design and implement data ingestion, transformation, and orchestration pipelines on Google Cloud for both batch and streaming processes
  • Optimize storage and processing costs while ensuring Data Lake/Data Warehouse quality, reliability, and scalability
  • Develop complex automations and orchestrations to integrate data from heterogeneous sources, including Oracle, SQL Server, MySQL, and S3
  • Collaborate directly with data scientists and analysts, providing structures ready for consumption
  • Build scalable, secure solutions with excellent cost management for a major healthcare reference center

Requirements

What you’ll need
  • Solid experience with Google Cloud Platform (GCP), especially BigQuery, Dataflow (Apache Beam), and Cloud Storage
  • Advanced SQL proficiency and Python development experience for automation and ETL
  • Experience integrating and ingesting real-time data (Pub/Sub) and batch data (Storage Transfer, JDBC templates)
  • Experience with data orchestration and transformation tools such as Cloud Composer (Airflow), Dataform, or dbt
  • Proficiency in code version control with Git and CI/CD practices
  • Previous experience with healthcare systems (EHR/EMR, RIS, LIS, or scheduling/regulatory systems) — a plus
  • Experience with Dataproc (Spark/Hadoop) and NoSQL databases (Bigtable/Firestore) — a plus
  • Experience with data governance and cataloging using Dataplex or Data Catalog — a plus