Senior Data Engineering Analyst

Inmetrics

Senior Data Engineer leading technical team in data handling and automation at Inmetrics. Collaborating on data projects and ensuring security and integrity in cloud environments.

Posted 7/21/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, automation, and cloud infrastructure, with a strong focus on security, integrity, and performance optimization. Proficient in developing scalable data solutions and collaborating with cross-functional teams to implement best practices.

Highest-signal resume keywords

Technical LeadershipData ManagementPython ScriptingGoogle Cloud Platform (GCP)Data Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationETL/ELT ProcessesData Pipeline MigrationData ArchitectureData Analytics Solutions

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

TerraformGCP BigQueryGCP BigTableDecision Engine Development

Industry Keywords

Data GovernanceOperational ProceduresComplianceInsight ExtractionBest Practices

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformPythonTerraform

About the role

Key responsibilities & impact

Technical leadership: provide technical leadership for the team, overseeing control, administration, and the definition of data methods and models.
Data management: support the management of databases, contributing to the definition of attributes, naming standards, and operational procedures.
Projects and automation: lead the technical development of data manipulation and automation projects, focusing on insight extraction and operational efficiency.
Security and integrity: ensure the security, integrity, and reliability of databases, maintaining compliance with policies and best practices.
Migration and modernization: migrate existing data pipelines to new pipelines on Google Cloud Platform (GCP), ensuring scalability and performance.
Automation and scripting: develop and maintain Python scripts to automate ETL/ELT processes.
Cloud infrastructure: manage and monitor data infrastructure in cloud environments, using tools such as Terraform.
Architecture and performance: design and implement scalable, high-performance data storage, processing, and analytics solutions.
Best practices and collaboration: collaborate with the Data Engineering team to define and apply best practices in architecture, governance, and observability.
Quality and documentation: ensure data quality, security, and integrity, and document implemented processes and solutions.

Requirements

What you’ll need

Register variables within a decision engine based on data mapped from the engine's input endpoints for use in credit, anti-fraud, and other policies.
Create policies within a decision engine based on backtest studies provided by Equifax Analytics.
Transcribe rules into a decision engine from credit, anti-fraud, and other policies provided by Equifax clients.
Handle structured and semi-structured data in cloud environments such as GCP BigQuery, BigTable, or similar.
Create dashboards or static reports.
Develop user interfaces to connect to decision engines (web, chatbot, etc.).

Benefits

Comp & perks

Bradesco Health Plan (30% co-pay)
Bradesco Dental Plan (no employee contribution)
Life insurance
Wellhub (Gympass)
Childcare allowance
Special needs child allowance
Payroll loan
Private pension plan
Pet benefit
SESC membership
Conexa telemedicine
Cost assistance
Meal / food allowance
Multi-benefits card
Medical plan upgrade
Extended maternity and paternity leave
Pregnancy support program
Birth kit and the book "Acontecia quando eu nascia"
Professional development: courses available through the internal university
100% remote or hybrid, depending on project applicability.