
Mid-level Data Engineer
Stefanini Brasil
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Development and maintenance of data solutions
- Contribute to analysis, pipeline development, and generation of strategic insights
- Work with large volumes of data, supporting data-driven decision making
- Support the analysis and interpretation of complex data
- Develop and evolve data models (Star Schema, Snowflake, etc.)
- Build and maintain data pipelines (ETL/ELT)
- Orchestrate workflows using Apache Airflow
- Develop scripts in Python, SQL, and/or Scala
- Work with data in Cloud environments (AWS and/or Azure)
- Create dashboards and data visualizations (Power BI or similar)
- Perform data cleaning, processing, and preparation
- Support improvements in query and process performance
- Collaborate with business and technology teams to understand requirements
Requirements
- Experience in data engineering or data analysis (mid-level)
- Proficiency in Python and SQL
- Knowledge of data modeling and relational databases
- Experience with ETL/ELT processes
- Experience with cloud environments (AWS or Azure)
- Experience with data visualization tools (Power BI or similar)
- Basic to intermediate knowledge of Apache Spark
- Familiarity with version control (Git)
- Understanding of statistics and data analysis
- Knowledge of agile methodologies (Scrum/Kanban)
Benefits
- Meal or food allowance (meal voucher)
- Discounts on courses, universities, and language schools
- Stefanini Academy — platform with free, up-to-date online courses and certificates
- Mentoring
- Benefits program for medical consultations and exams
- Health insurance
- Dental insurance
- Perks and discounts at partner establishments
- Travel club
- Pet care benefit
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data solutions developmentdata pipeline developmentdata modelingETLELTPythonSQLScalaApache Airflowdata visualization
Soft Skills
collaborationanalysisinterpretationdata-driven decision makingcommunication