Data Eng Pl/Sr [AFFIRMATIVE FOR WOMEN]

Role Summary

We are looking for women data engineers who want to build robust and scalable solutions, working with modern technologies and having a direct impact on the business.

Differentiators

• Experience with data or machine learning projects;
• Knowledge of BI tools (e.g. Power BI);
• Experience with managing Databricks environments;

Certifications (Databricks and/or Azure).

Responsibilities

On a daily basis, you will

• Develop and maintain data pipelines with Databricks and Spark;
• Work with ingestion, transformation and processing of large volumes of data;
• Create and support models for BI and Analytics;
• Ensure data quality, governance and security;
• Work in cloud environments (Azure, AWS or GCP);

Collaborate with technical teams and business areas.

• Experience with SQL and a language such as Python, Scala or R;
• Experience with distributed processing (Spark);
• Experience with Databricks and cloud environments;
• Knowledge in pipeline orchestration (ADF, Airflow or similar);
• Experience with versioning and CI/CD;
• Knowledge in data modeling for BI/Analytics;

Good communication and collaborative performance.

Benefits

Here you will have

• iFood Valley (food and meals);
• Cost Assistance;
• Health Plan;
• Dental Plan;
• Birthday day off;
• Life insurance;
• Extended Maternity and Paternity Leave;
• Educational Partnerships;
• Total Pass Partnership - health and well-being;
• Clude Saúde Partnership;
• Reimbursement Programs;
• Flexible hours;

Dresscode: be you.