Data Engineer

Responsibilities

• Build and optimize data pipelines to facilitate seamless data flow across systems and platforms
• Manage databases, ensuring integrity and implementing storage and retrieval solutions
• Leverage cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions
• Collaborate with teams to integrate machine learning models into data pipelines
• Implement and work with Spark and Kafka for real-time data processing and analytics

Requirements

• 2-5 years of experience as a Data Engineer
• Proficiency in Python, SQL, and database management
• Experience with ETL pipelines, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark, and Kafka
• Bachelor's degree in Computer Science, Electronics, or Communication Engineering
• Experience working with business stakeholders
• Strong problem-solving skills and communication abilities

About the Company

Artefact is a new generation of data service providers specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations.