
Data Engineer – Data & AI Assistant (Exclusively for People with Disabilities)
DM
full-time
Posted on:
Location Type: Hybrid
Location: São José dos Campos • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSparkSQLTerraform
About the role
- Support the extraction of data from various sources (databases, APIs, spreadsheets, etc.).
- Perform data cleaning and preprocessing to ensure consistency and quality.
- Help organize and structure datasets and databases.
- Assist the team with maintenance and improvements of the Data Lake environment.
- Develop and document scripts to automate repetitive tasks related to data processing or analysis.
- Keep clear and organized documentation of performed activities.
- Participate in team meetings and contribute ideas to improve processes and projects.
- Commit to learning new tools, techniques, and programming languages (Python, SQL, Spark, Terraform, etc.).
- Keep up with trends in Data Science and propose innovations when applicable.
Requirements
- Currently enrolled in a degree program in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related fields.
- Basic programming knowledge (Python, R, or SQL).
- Motivated to learn and grow in Data Engineering.
Benefits
- CAJU Flexible Benefits Card — meal/food/mobility and other allowances
- Medical plan (Bradesco)
- Dental plan (Bradesco)
- Life insurance
- Study incentive programs
- English course — English Pass (partnership available to all DM employees)
- WellHub (formerly Gympass) for fitness activities
- DM Mastercard with a pre-approved limit
- Flexible working hours
- ShortDay — early logoff so you can take care of yourself
- No dress code — what matters is that you feel comfortable
- Day off on your birthday — a gift from DM
- PPR (Profit Sharing / Results Participation Program)
- For parents: childcare assistance for children up to 6 years old
- For parents: extended maternity and paternity leave — 6 months for mothers and 20 days for fathers
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data extractiondata cleaningdata preprocessingdata structuringdata automationPythonSQLSparkTerraform
Soft skills
organizationcommunicationteam collaborationproblem-solvingmotivation to learn