Data Engineer joining Sicredi's team to analyze credit pricing data and build metrics. Involves multidisciplinary collaboration across various teams and data processes.
Responsibilities
Perform the ETL process (extraction, transformation, and loading of data);
Automate processes and routines for the area;
Work on data models, data mining, and segmentation techniques;
Retrieve data from source systems in an easy-to-use format;
Manage databases following best practices;
Collaborate with the different roles in the data process (analysts, engineers, data scientists, and business analysts);
Maintain necessary documentation for deliverables.
Requirements
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or related areas;
Strong writing, synthesis, presentation, and communication skills, using language appropriate for the target audience;
Experience with programming languages and technologies such as Python, Spark, SQL, and SAS;
Knowledge of Databricks for building and managing big data pipelines is desirable;
Familiarity with data modeling techniques to design efficient data schemas is desirable;
Experience and knowledge of the Financial Market are desirable;
Intermediate English is desirable.
Benefits
Fixed 14th and 15th salaries;
Profit-sharing/Performance bonuses (depending on seniority);
Health and dental plans with no copayment,
Wellness programs including Wellhub (formerly Gympass), nutrition, psychology, occupational health, massage, running groups, and a local gym;
Meal and food vouchers (VA/VR) with flexible percentage allocation on the cards, no copayment;
Extended maternity and paternity leave;
Childcare or nanny assistance for children up to 6 years and 11 months;
Support for children with disabilities, no age limit;
Life insurance,
Private pension plan up to 7% of salary;
Training platform — Sicredi Aprende — offering a wide range of courses;
40-hour workweek — using a time bank system;
Telework allowance (except for positions that are 100% on-site).
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