Perform ETL processes (extract, transform, and load data);
Automate area processes and routines;
Work on data models, data mining, and segmentation techniques;
Obtain data from source systems in an easy-to-use format;
Assist in building data pipelines, ensuring pipeline quality, performance, and sustainability;
Manage databases according to best practices;
Interact with different roles in the data and systems process (analysts, other engineers, data scientists, and business analysts);
Participate in the Data Engineers chapter, encouraging and promoting a data-driven culture across colleagues and teams in our operation;
Maintain necessary documentation for your deliverables;
Keep evolving technically;

Preferred degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, Systems Analysis and Development, or related areas;
Analytical thinking;
Strong writing, synthesis, and communication skills;
Experience using Apache Spark;
Experience with programming languages such as SQL, Python, or Scala;
Experience with credit data;
Familiarity with Databricks for building and managing big data pipelines is preferred;
Knowledge of data modeling techniques to design efficient data schemas is preferred;
Intermediate English preferred;
Knowledge of Financial Markets and Credit is a plus;

14th and 15th fixed salaries;
Profit-sharing/results participation (based on seniority);
Health and dental plans with no co-pay;
Wellness programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running group, and local gym access;
Meal and food allowances (VA/VR) – flexible percentage allocation between cards, with no co-pay;
Extended maternity and paternity leave;
Childcare or nanny assistance for children up to 6 years and 11 months;
Support for children with disabilities, with no age limit;
Life insurance;
Private pension plan matching up to 7% of salary;
Training platform – Sicredi Aprende, offering a variety of courses;
40-hour workweek – using a time bank system;
Remote work allowance (except for positions that are 100% on-site).

Data Engineer Mid/Senior – Focus on Credit Approval and Guarantees

Key skills