Data Engineer

📋 Description

• Design, develop, and maintain scalable and reliable data pipelines and ETL/ELT processes.
• Develop, maintain, and optimize data warehouse solutions and data models.
• Build and maintain data infrastructure primarily on AWS, while supporting relevant legacy systems.
• Develop APIs and data integrations to enable effective data exchange across systems.
• Contribute to real-time data pipelines and processing using Apache Kafka.
• Automate and optimize data processes, workflows, and operational tasks.

🎯 Requirements

• 2+ years of professional experience in data engineering.
• Strong SQL and Python programming skills.
• Hands-on experience with AWS services, particularly Amazon S3, Amazon Redshift, AWS Glue, and AWS
• Practical experience with Apache Airflow for data workflow orchestration.
• Strong understanding of data warehousing principles and data modeling.
• Experience designing, developing, and maintaining production-grade data pipelines, with a strong

🎁 Benefits

• Full-time position.
• Opportunity to work within an Analytics-focused environment.
• Remote working arrangement.
• Opportunity to contribute to modern cloud-based data infrastructure.
• Hands-on exposure to AWS, Airflow, Kafka, data warehousing, and data modernization initiatives.
• Opportunity to contribute to the improvement of data reliability, quality, performance, and