Data Engineer

Design, implement, and maintain scalable data pipelines and ETL processes, create and manage APIs, collaborate with cross-functional teams, lead data modelling efforts, and implement best practices for data governance. Collaborate with teams to build scalable data-driven products. Implement backend APIs & work on databases to support applications. Work in an Agile Environment that practises Continuous Integration and Delivery.

Requirements

• At least 3 years of experience as a Data Engineer
• Strong proficiency in programming languages, particularly Python, PySpark and SQL derivatives
• Experience working with structured, semi-structured, and unstructured data
• Experience with AWS ETL and orchestration tools
• Extensive knowledge of data modelling, data access and data storage infrastructure
• Knowledge of open table formats
• Familiarity with data mesh principles, domain ownership, data product thinking and federated governance
• Familiarity with Big Data technologies and cloud services
• Solid understanding of data architecture concepts, data lakes, and data marts
• Exceptional analytical and problem-solving skills
• Excellent communication skills
• Ability to mentor and guide team members

Benefits

• Learning culture
• Annual Leave Benefits with additional perks such as Family Care and Birthday Leave