Mid Data & Software Engineer

📋 Description

• Design, develop, and maintain large-scale data pipelines using technologies such as Scala, Apache
• Build highly scalable and resilient data processing solutions capable of supporting large-volume
• Solve challenging data engineering problems by designing efficient distributed systems and
• Contribute to production-grade data platforms by delivering clean, tested, maintainable, and
• Participate in end-to-end feature development, from technical design and implementation through
• Apply engineering best practices through code reviews, automated testing, documentation, and

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent
• Professional experience in software engineering, data engineering, or a closely related technical
• Hands-on experience working with cloud-native data platforms such as AWS, GCP, or Azure.
• Familiarity with cloud data services such as S3, Glue, Athena, or equivalent technologies.
• Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient
• Experience designing, developing, or operating highly parallelized data-processing workloads.

🎁 Benefits

• Opportunity to work on large-scale, cloud-native data platforms and distributed systems.
• Exposure to modern technologies including Scala, Apache Spark, cloud services, and large-scale data
• Opportunity to contribute to solutions handling highly complex and high-volume workloads.
• Collaboration with global engineering, product, and cross-functional teams.
• Opportunities to contribute to architecture discussions and influence technical solutions.
• Continuous learning and professional development through exposure to modern engineering practices