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Data Engineer

Do you want to work with the latest technologies and contribute to high-impact projects in Machine Learning and Data Engineering? Join a growing company that values innovation, collaboration, and professional development.

Requirements

• More than 5 years of experience in Data Engineering or related roles.
• Strong knowledge of Python and experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with modern data processing frameworks and orchestration tools (e.g., Airflow, Spark).
• Understanding of data modeling, ETL design, and data warehouse principles.
• Experience handling large datasets and optimizing performance in distributed environments.
• Advanced English and strong communication skills.
• Team player with a proactive and analytical mindset.
• Experience with agile or scrum methodologies is a plus.

What We Offer

• Challenging projects that involve large-scale data processing and analytics.
• Exposure to state-of-the-art cloud and data engineering technologies.
• A dynamic and collaborative work environment with highly skilled professionals.
• Opportunities to work both on-site and remotely.
• The chance to grow in a company that encourages initiative and continuous learning.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists and machine learning engineers to ensure efficient data flow across systems.
• Participate in the architecture and design of new data solutions.
• Implement and optimize data processing workflows using tools such as Airflow, PySpark, and Kubernetes.
• Ensure data quality, consistency, and reliability across multiple environments.
• Proactively propose improvements in tools, processes, and methodologies.