Data Engineer – GCP

EVT

. Build and maintain batch and streaming data pipelines in a GCP environment .

Posted 9/19/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines in GCP, with a strong focus on Dataflow, BigQuery, and Cloud Composer. Proficient in data modeling, governance, and security, while effectively communicating technical solutions to diverse teams.

Highest-signal resume keywords

GCP Data EngineeringDataflow Pipeline DevelopmentBigQuery OptimizationCloud Composer/Airflow OrchestrationData Governance and Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDataflowBigQueryCloud ComposerData ModelingPythonDockerAutomated TestingData WarehousingCI/CD

Soft Skills

Strong Communication SkillsCollaborative MindsetOrganizational Skills

Tools & Technologies

Pub/SubCloud StorageDataformGitPytestCloud BuildDataplexIAMGenAIVertex AI

Certifications & Qualifications

Google Professional Data Engineer

Industry Keywords

Data MeshData ProductsData ContractsSchema EvolutionMedallion ArchitectureStar SchemaSnowflake SchemaSCDSAP ECCBW

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudDockerGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Build and maintain batch and streaming data pipelines in a GCP environment
Translate business needs into technical data solutions
Develop pipelines using Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery
Orchestrate pipelines with Cloud Composer/Airflow
Perform data modeling, testing, governance, security, and observability
Own the full delivery lifecycle, from development through deployment and documentation of solutions
Communicate with technical and business teams, including international teams

Requirements

What you’ll need

Advanced English proficiency for communication with teams based outside Brazil
Availability to work EST (Eastern Standard Time) hours
Experience in Data Engineering with GCP in production environments
Experience with Dataflow, Dataform, Pub/Sub, Cloud Storage, and BigQuery
Advanced knowledge of BigQuery, including partitioning, clustering, performance, and cost optimization
Experience with Cloud Composer/Airflow for pipeline orchestration
Knowledge of data modeling, Data Warehousing, Star Schema, Snowflake Schema, SCD, and Medallion Architecture
Experience with Python, Git, Code Review, Docker, and CI/CD, preferably Cloud Build
Knowledge of data governance, security, and observability on GCP, including Dataplex, IAM, and PII protection
Experience with automated testing, preferably pytest, and data quality practices
Google Professional Data Engineer certification (a plus)
Knowledge of BigLake, Apache Iceberg, and Data Lakehouse architectures (a plus)
Experience with Data Mesh and Data Products (a plus)
Knowledge of SAP ECC, BW, or S/4HANA (a plus)
Knowledge of Data Contracts, Schema Evolution, and observability (a plus)
Experience with GenAI and Vertex AI (a plus)
Experience with Knowledge Transfer (KT) and technical training (a plus)
Strong communication skills with technical and non-technical audiences
Ability to translate business needs into technical solutions
Collaborative mindset for working across different departments and teams
Strong organizational skills for documentation, delivery tracking, and deployment
Ability to work in an international environment, using English on a daily basis

Benefits

Comp & perks

Learning incentive programs (Udemy)
Corporate English classes at affordable rates