Professional responsible for translating business rules into reliable analytical structures,
Working primarily with ingested and processed data, focusing on modeling, transformation, quality, and governance,
Ensuring that data is ready for consumption by business areas, analytics, and data science teams.
Collaborate with business stakeholders to understand metrics, KPIs, and concepts,
Ensure semantic consistency across different data sources and data products.
Develop and maintain analytical tables (refined/gold layers), applying calculation rules, aggregations, classifications, and normalizations.
Use SQL, PySpark, and Databricks features to build efficient and reusable pipelines.
Implement validations, quality tests, and consistency controls on transformed data.
Contribute to the data catalog and clarify the single source of truth.
Prepare datasets for use by analysts, data scientists, BI teams, and digital products.
Support investigations, exploratory analyses, and validation of indicators with consuming areas.

Fixed 14th and 15th salaries (additional fixed annual payments);
Profit-sharing (depending on seniority);
Health and dental plans with no cost-sharing;
Wellness programs through Wellhub (formerly Gympass), including nutrition, psychology, occupational health, massage, running groups, and local gym access;
Meal and food vouchers with flexible percentage allocation between VA/VR cards, with no cost-sharing;
Extended maternity and paternity leave;
Childcare or nanny assistance for children up to 6 years and 11 months;
Assistance for children with disabilities, with no age limit;
Life insurance;
Private pension plan 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).

Senior Data Engineer

Key skills