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Leega

Senior Data Engineer, GCP/dbt

Leega

. Serve as a Senior Data Engineer on the collections squad of a large financial institution .

Posted 9/29/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and enhancing cloud-based data pipelines and models on GCP, with a strong focus on data architecture, optimization, and security. Proficient in collaborating with cross-functional teams to advance data maturity and implement best practices in data management.

Highest-signal resume keywords
GCPDbtPySparkBigQueryDataflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ModelingQuery OptimizationData ValidationShell ScriptingAdvanced SQL
Soft Skills
CollaborationCommunication
Tools & Technologies
TerraformDataprocCloud StorageGitJira
Industry Keywords
Data GovernanceIAM SecurityAgile MethodologiesData PipelinesCloud Security

Tech Stack

Tools & technologies
BigQueryCloudETLFirewallsGoogle Cloud PlatformHadoopPySparkPythonShell ScriptingSparkSQLTerraform

About the role

Key responsibilities & impact
  • Serve as a Senior Data Engineer on the collections squad of a large financial institution
  • Build and enhance cloud-based data pipelines and models using dbt
  • Participate in a data community of practice (chapter) and promote best practices
  • Support business teams in advancing their data maturity
  • Collaborate continuously with Data Science, BI, Data Engineering, and business teams
  • Diagnose issues, propose standards, and document solutions
  • Assess data warehouse architecture and requirements
  • Map data, transformations, and processes across GCP services
  • Define full-load, incremental, and CDC migration strategies
  • Develop a data architecture plan on GCP
  • Design BigQuery table schemas with performance, cost, and scalability in mind
  • Define BigQuery partitioning and clustering strategies
  • Model Bronze, Silver, and Gold zones in Cloud Storage
  • Create transformations using Dataproc/Spark or Dataflow to load data into BigQuery
  • Translate existing business logic and transformations in GCP
  • Implement data validation and quality processes
  • Use Terraform to provision and manage GCP resources
  • Configure and optimize Dataproc clusters
  • Manage networking, IAM security, and access controls in GCP
  • Optimize BigQuery queries, Spark jobs, and GCP resource utilization
  • Implement data security in transit and at rest
  • Define and enforce IAM policies and ensure compliance with data governance requirements
  • Troubleshoot performance and functional issues affecting pipelines and GCP resources
  • Document architecture, pipelines, models, and operational procedures
  • Communicate with team members, stakeholders, and other departments
  • Ensure clear communication between architecture, software components, and ongoing development efforts

Requirements

What you’ll need
  • At least 3 years of proven experience with GCP
  • At least 3 years of proven experience with dbt
  • At least 3 years of proven experience with PySpark
  • Proven knowledge of GitFlow
  • In-depth knowledge of BigQuery, including data modeling, query optimization, partitioning, clustering, streaming and batch loads, security, and governance
  • Experience with Cloud Storage, including buckets, storage classes, lifecycle policies, IAM, and data security
  • Ability to provision, configure, and manage Spark/Hadoop clusters on Dataproc
  • Knowledge of Dataflow, Composer, and dbt for ELT/ETL pipelines
  • Experience implementing Cloud IAM policies and granular access controls
  • Understanding of VPCs, networking, subnets, firewalls, and cloud security
  • Python and PySpark
  • Advanced SQL
  • Shell scripting
  • Git, GitHub, and Bitbucket
  • Knowledge of Agile methodologies, ceremonies, and proficiency with Jira

Benefits

Comp & perks
  • Porto Seguro health insurance, with the option to add a spouse and children
  • Porto Seguro dental insurance for employees and dependents
  • Profit Sharing and Results (PLR)
  • Childcare assistance
  • Alelo meal and food vouchers
  • Home office allowance
  • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs
  • Certification incentives, including cloud certifications such as GCP, Azure, AWS, and others
  • Livelo points
  • TotalPass, offering discounted gym memberships for employees and family members
  • Mindself, with incentives for meditation and mindfulness
  • Ongoing training and professional development