Data Analyst – Analytics Engineer

Grendene S/A

. Develop automations on the data platform, ensuring durability, high performance, and usability in alignment with governance and security requirements .

Posted 10/15/2026full-timeFarroupilha • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data automations and maintaining data platforms with a focus on performance, scalability, and security. Proficient in advanced data analysis and cloud computing, particularly with GCP, while fostering a data-driven culture and promoting best practices in data engineering.

Highest-signal resume keywords

Cloud ComputingPython ProficiencySQL ProficiencyData Lake ArchitectureETL/ELT Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Analysis TechniquesData Pipeline DevelopmentAutomation DevelopmentPerformance MonitoringData Engineering Best Practices

Soft Skills

Collaborative MindsetAdaptabilityResults-Oriented ApproachAutonomous Work

Tools & Technologies

GCPPySparkDatabricksAirflowETL

Industry Keywords

Data PlatformGovernance RequirementsSecurity RequirementsObservabilityScalability

Tech Stack

Tools & technologies

AirflowCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

Develop automations on the data platform, ensuring durability, high performance, and usability in alignment with governance and security requirements
Apply advanced data analysis techniques to identify patterns, trends, and relevant insights that support the company’s strategic and operational decisions
Maintain the data layer and its services to ensure observability, scalability, and flexibility while efficiently meeting customer demands
Create frameworks and standards that optimize the engineering team’s work
Serve as a reference for data engineering best practices to promote scalability and cloud automation, collaborating seamlessly with all teams
Translate business needs into reusable solutions and foster a data-driven culture
Monitor and enhance the data platform with a focus on performance and innovation

Requirements

What you’ll need

Bachelor’s degree in an IT-related field
Experience with Cloud Computing, preferably GCP
Knowledge of Data Lake architecture and data loading processes
Proficiency in Python and SQL for building pipelines, queries, and automations
Experience with PySpark, Databricks, Airflow (Composer), and ETL/ELT
Analytical, hands-on, and collaborative mindset
Ability to work autonomously while being a team player
Adaptability and results-oriented approach

Benefits

Comp & perks

Collaborative and safe work environment
Learning and professional ownership opportunities
Position also open to applicants with disabilities