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Data Systems Engineer

hace 2 meses


Barcelona, Barcelona, España Baxter Planning A tiempo completo

Company Overview
Baxter Planning is a leading provider of software solutions for the service supply chain planning industry. With over 30 years of experience, we have established ourselves as a trusted partner for businesses seeking to optimize their operations and stay ahead of the competition.

Job Summary
We are seeking a highly skilled Data Systems Engineer to join our team. As a Data Systems Engineer, you will be responsible for designing, implementing, and optimizing data systems to support our data lake/data mesh infrastructure and data processing needs.

Key Responsibilities
• Design and implement 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
• Stay up-to-date with emerging technologies, especially in AI and software development, and apply them innovatively in projects

Requirements
• 3+ 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
• Knowledge of AWS services and AWS Glue, Athena and Lambda Functions
• Familiarity with agile development practices
• Demonstrated ability in analysis and design of data systems

Preferred Qualifications
• Experience in building data systems with real-time data streams (e.g., Kafka, Kinesis)
• Strong understanding of complex data architecture, especially for data lake environments
• Bachelor of Science degree in a technical major (Computer Science, Engineering, Mathematics) or equivalent industry experience
• Familiarity with other ETL tools (Pentaho, Informatica, SSIS, etc.)
• Knowledge or experience with microservices and messaging systems
• Experience with supply chain management is a plus
• Familiarity with MongoDB is a plus