Data Engineer
hace 6 meses
[Work in progress]
- Analysis, design and develop of Datamarts / Dataflows ETL processes.
- Designing and developing Datamarts and Dataflows, adding an extra security layout to our Analytical Platform, ensuring also the best experience for the user.
- Business Analysis, design and develop the reporting layer at a global scale.
- The documentation to establish the good practices of a BI architecture, with a proper architecture that fits into our company while we ensure scalability, globally. Fluent in English and have positive attitude and effective communication skills will be essential to work alongside your team members, be able to do troubleshooting, contact to business users and create training.
If you are easily excited by raw data and the boundless potential to transform it into useful shapes and forms, this is your dream job.
Couple that with a **best-in-class cloud data architecture **, and you are off to the races.
You will be supporting a data ecosystem that is fueled by 280 million annual visitors to our web and app properties.
Combine this with an **enterprise-grade events-based Martech stack **and the opportunities really are limitless.
This role will give you the **unbridled freedom **to explore your data passions to connect disparate data sources together to create meaningful business insights and drive rapid product improvement and growth. If you are also an **API guru **, then we want you...now.
- Develop and maintain data-serving performant **API services**:
- Strong proficiency with SQL and its variations amongst popular databases
- Design, develop, and maintain microservices for real-time data ingestion and ETL pipelines
- Analyze and organize raw data across **Martech stack**:
- Develop and Maintain **data lakes**:
- Collaborate with **data scientists and architects **on several projects
- Ensure all components are **highly scalable, maintainable, and monitored**:
- Optimize cloud services for **security, cost and performance**
- Degree in Computer Science, Software Engineering, or related discipline
- Strong knowledge of developing and maintaining API services in a cloud environment
- Strong object and service-oriented programming skills in Python to write efficient, scalable code
- Knowledge of modern containerization techniques - Docker, Docker Compose
- A strong interest in data and the insights it can provide to better serve our customers
- Experience with relational and unstructured databases and data lakes
- An understanding of business goals and how data policies can affect them
- Effective communication and collaboration skills
- A strong understanding of the concepts associated with privacy and data security
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