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Stefanini Brasil

Mid-Level Data Engineer – Azure, Databricks

Stefanini Brasil

. Design, develop, and optimize scalable, high-performance ETL/ELT data pipelines .

Posted 9/23/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and optimizing ETL/ELT data pipelines, with strong proficiency in SQL and Python, and hands-on experience with Apache Spark and Databricks. Knowledgeable in data governance, data architecture, and cloud technologies, particularly within the Microsoft Azure ecosystem.

Highest-signal resume keywords
SQL ProficiencyPython ProficiencyApache Spark ExperienceMicrosoft Azure KnowledgeETL/ELT Concepts Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonJavaApache SparkDatabricksData ModelingDatabase DesignMachine Learning AlgorithmsETL/ELTData Mining
Tools & Technologies
Azure Data FactoryAzure SynapseADLSObservability Tools
Industry Keywords
Big DataData WarehouseData LakeData GovernanceData Architecture

Tech Stack

Tools & technologies
ApacheAzureETLJavaPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and optimize scalable, high-performance ETL/ELT data pipelines
  • Model and structure databases, Data Warehouses, and Data Lakes according to data design best practices
  • Work on the integration and processing of large volumes of data using the Big Data ecosystem and cloud technologies
  • Apply mathematical and statistical concepts to support advanced analytics and prepare data for Machine Learning models
  • Ensure data governance, quality, and flow monitoring through observability tools
  • Collaborate with Analytics, BI, and Data Science teams to support data architecture and information delivery

Requirements

What you’ll need
  • Strong proficiency in SQL and Python
  • Basic knowledge of Java
  • Hands-on experience with Apache Spark and Databricks
  • Knowledge of and practical experience with the Microsoft Azure cloud, including Azure Data Factory, Azure Synapse, and ADLS
  • Strong understanding of Big Data, Data Warehouse, Data Lake, and ETL/ELT concepts
  • Knowledge of data modeling, database design, and data mining
  • Understanding of data architecture design patterns
  • Understanding of basic mathematical and statistical calculations and Machine Learning algorithms
  • Knowledge of data and pipeline monitoring and observability tools and practices

Benefits

Comp & perks
  • Meal or food allowance
  • Discounts on courses, universities, and language institutions
  • Stefanini Academy — a platform offering free, up-to-date online courses with certificates
  • Mentoring
  • Benefits club offering discounts on consultations and medical tests
  • Health insurance
  • Dental insurance
  • Benefits and discounts at leading establishments
  • Travel club
  • Pet care benefits