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Responsibilities: - Design, implement, and optimize data systems to support our data mesh infrastructure. - Utilize AWS Glue for data extraction, transformation, and loading (ETL) processes. - Refactor and improve existing data systems for enhanced efficiency and performance. - Collaborate closely with product development and production support teams to meet their data engineering requirements. - Participate actively in peer code reviews to maintain code quality and consistency. - Diagnose and resolve production issues, offering corrective measures and workarounds when necessary. - Continuously assess key performance indicators (KPIs) and identify opportunities for improvements and optimizations within our data mesh. -------------------------------------------------------------------------------------------------------- Job Requirements: - Strong understanding of AWS services and AWS Glue, Athena and Lambda Functions - Minimum of 5 years of relevant experience in data engineering. - Knowledge in ETL concepts within modern data applications. - Good SQL skills, with a focus on PostgreSQL and query optimization. - Proficiency in Python programming. - Familiarity with MongoDB is a plus. - Familiarity with agile development practices. - Demonstrated ability in analysis and design of data systems. -------------------------------------------------------------------------------------------------------- Desired Qualifications: - Bachelor of Science degree in a technical major (Computer Science, Engineering, Mathematics) or equivalent industry experience. - Knowledge or experience with microservices and messaging systems. - Experience with supply chain management is a plus Powered by JazzHR