Description
Job Summary:
We are seeking a proactive Data Engineer to work with Big Data, Analytics, and AI, building solutions and disseminating analytical knowledge.
Key Highlights:
1. Implement data engineering and Big Data solutions.
2. Provide data that generates value for business areas.
3. Share analytical knowledge with the team and the organization.
**Positively impacting billions of lives is our purpose—and it can be yours too!**
Founded in 2010 in Brazil, Semantix is a reference in Big Data, Analytics, and Artificial Intelligence.
We are a team of innovation enthusiasts from diverse backgrounds and experience levels. What unites us is our shared motivation to transform our customers’ experience through a data-driven culture.
If this resonates with you, Semantix is your place.
We’re excited to welcome you to our team.
After all, **the future is built together**.
Requirements: **Responsibilities and Duties:**
* Implement appropriate data engineering solutions according to project needs.
* Use programming and code maintenance to prepare data.
* Define and build relational databases with distributed architecture for Big Data processing.
* Extract, transform, and load (ETL) data from one database to another.
* Analyze user requirements.
* Conduct research, design, and development of new software programs.
* Provide data that generates value for business areas.
* Identify ways to improve data reliability, efficiency, and quality.
* Disseminate analytical knowledge across the team and the organization.
**Requirements and Qualifications:**
* MongoDB;
* ETL workflows and data modeling;
* Databricks;
* Azure Cloud;
* DevOps;
* GitHub;
* Python/PySpark and SQL;
* Building pipelines using API calls;
* Collaboration with business areas.
**Mandatory:**
* Proficiency in **MongoDB**;
* Data modeling.
**Expected Profile:**
* Support and understand the experimentation process;
* Proactively resolve day-to-day problems;
* Contribute to team development by providing continuous feedback;
* Generate data that adds value to the business;
* Continuously seek to improve data reliability, efficiency, and quality;
* Share analytical knowledge with the team and the organization.
Benefits
Competitive salary;
Caju (flexible card) loaded with R$ 1.060/month;
Bradesco Health Insurance;
Bradesco Dental Insurance;
* ️ Preventive medicine with Dr. Alper;
Life Insurance;
* ️ Gympass;
️ SESC;
Daycare allowance for mothers and fathers;
Profit Sharing Program (PLR);
Learning – an area focused on developing hard and soft skills;
Partnerships with educational institutions for technical training, MBAs, postgraduate studies, certifications, English, and Spanish;
Career Development Plan;
Discounts on products via a partner portal.
We emphasize that all our job openings are open to individuals of all profiles and backgrounds, valuing diversity and fostering an inclusive and welcoming environment for everyone.