Assisting data team in extracting and processing data for strategic projects in financial sector. Developing skills in Data Engineering during the process.
Responsibilities
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
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