Role & Responsibilities :

- Leading the design and implementation of scalable data architectures using Snowflake and Azure/AWS platforms

- Developing and optimizing data pipelines and workflows with Apache Airflow and Azure Data Factory

- Managing data integration and transformation processes to support data modernization initiatives

- Overseeing the deployment and maintenance of data warehouses, confirming data quality and security

- Collaborating with cross-functional teams to align data strategies with business objectives

- Utilizing advanced data modeling techniques to enhance data infrastructure and analytics capabilities

- Implementing database optimization and performance tuning strategies for efficient data retrieval

- Coaching and mentoring teams to foster a culture of continuous learning and innovation in data engineering

- Validating data solutions to meet client requirements and industry standards

- Engaging with stakeholders to provide strategic insights and drive data-driven decision-making

What You Must Have :

- At least a Bachelor's degree

- At least 12 years of experience

- Oral and written proficiency in English required

What Sets You Apart :

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics

- Demonstrating proficiency in Snowflake Data Warehouse and Azure/AWS platforms

- Utilizing advanced data engineering skills with Apache Hadoop and Apache Airflow

- Leading data modernization projects with a focus on cloud solutions

- Applying strategic thinking in data architecture development and optimization

- Excelling in coaching and feedback to develop high-performing teams

- Navigating complex data environments with analytical thinking and problem-solving skills