Data Engineer, AWS, Databricks – Mid-level

Leega

Engenheiro de Dados AWS & Databricks na Leega, que transforma desafios tecnológicos em impacto real. Buscando perfil inovador com experiência em soluções escalonáveis e arquitetura de dados.

Posted 7/31/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in building scalable data analytics solutions on AWS, with a strong focus on reverse-engineering code and implementing architectural improvements. Proficient in eliciting requirements and fostering a data-driven culture through effective communication and collaboration.

Highest-signal resume keywords

AWS (S3, EMR, Athena, Lambda, SQS, AWS Glue, RDS, Redshift)DatabricksPySparkOracle DatabasesPL/SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Load MigrationsAutomated AnalysesReverse-Engineering CodeArchitectural ImprovementsSpark ArchitectureDistributed Systems

Soft Skills

EmpathyCommunication SkillsTeam Collaboration

Tools & Technologies

AWSDatabricks

Certifications & Qualifications

AWS Certification: Professional or SpecialtyDatabricks Certification

Industry Keywords

Agile MethodologiesData-Driven CultureBusiness Requirements

Tech Stack

Tools & technologies

Amazon RedshiftAWSOraclePySparkSparkSQL

About the role

Key responsibilities & impact

Document pipelines by reverse-engineering code;
Map execution flows and dependencies between processes;
Assist in planning data load migrations;
Develop automated analyses to accelerate reverse-engineering;
Build scalable and resilient data analytics solutions on AWS;
Implement architectural improvements;
Elicit requirements from business areas and document them;
Familiarity with agile methodologies;
Align the corporate IT environment with business needs, standards, and industry best practices;
Drive a data-driven culture in day-to-day activities;
Ability to work in a team with empathy, to listen and be heard, and strong communication skills;

Requirements

What you’ll need

Minimum of 5 years' experience with AWS (S3, EMR, Athena, Lambda, SQS, AWS Glue, RDS, Redshift);
Minimum of 3 years' experience with Databricks;
Minimum of 3 years' experience with PySpark;
Understanding of Spark architecture and the features and challenges of distributed systems;
Experience with Oracle databases and PL/SQL.
**Preferred:**
AWS certification: Professional or Specialty;
Databricks certification;

Benefits

Comp & perks

100% remote position