Mid-Level GCP Data Engineer

Leega

. Develop and maintain scalable, efficient data pipelines (ETL/ELT) .

Posted 10/2/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining scalable data pipelines, utilizing Google Cloud Platform and Databricks for data ingestion, transformation, and delivery. Proficient in ensuring data quality and governance while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data Pipeline DevelopmentGoogle Cloud PlatformDatabricks (Spark/PySpark)Python and SQL ProficiencyData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELTData ModelingOrchestrating PipelinesDelta LakeInfrastructure as CodeData StreamingPerformance MonitoringData Quality AssuranceCloud Cost OptimizationData Architecture Design

Tools & Technologies

AirflowGitDockerPower BILookerTableauKafkaPub/SubBigQueryCloud Storage

Certifications & Qualifications

GCP CertificationDatabricks Certification

Industry Keywords

Data LakeData WarehouseLakehouse ArchitectureBrazil's General Data Protection Law (LGPD)

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLGoogle Cloud PlatformKafkaPySparkPythonSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Develop and maintain scalable, efficient data pipelines (ETL/ELT)
Handle data ingestion, transformation, and delivery in GCP environments
Build solutions using Databricks (Spark/PySpark)
Design and evolve data architectures (Data Lake, Data Warehouse, Lakehouse)
Integrate diverse data sources (APIs, databases, streaming)
Ensure data quality, governance, and reliability
Monitor performance and optimize cloud costs
Collaborate with BI, Analytics, and Data Science teams

Requirements

What you’ll need

At least 4 years of experience as a Data Engineer
Hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, or similar services)
Experience with Databricks and distributed processing with Spark
Proficiency in Python and SQL
Experience with data modeling (relational and dimensional)
Experience orchestrating pipelines (Airflow or similar tools)
Knowledge of code version control (Git)
Experience with Delta Lake
Knowledge of infrastructure as code (Terraform)
Experience with Docker
Knowledge of data streaming (Kafka, Pub/Sub)
GCP or Databricks certifications
Experience with Lakehouse architecture
Knowledge of BI tools (Power BI, Looker, Tableau)
Familiarity with data governance and Brazil's General Data Protection Law (LGPD)
Intermediate or advanced English

Benefits

Comp & perks

Ongoing professional development
100% remote work
Position also open to people with disabilities