Senior Hadoop Software Engineer

• Hybrid Model
• Long Term Contract
• Daily Rate

A leading global e-commerce company is seeking several experienced Senior Software Engineers to join their Data Platforms Team. This is a fantastic opportunity to work on large-scale distributed data systems that drive business-critical operations.

The Hadoop Team is central to the company's big data infrastructure. They deliver scalable, robust solutions for data processing and storage, aligned with strategic goals to drive data-informed decision-making and improve user experience. The team is responsible for optimizing Hadoop-based platforms that underpin key innovation initiatives across the organization.

• System Optimization & Scalability:
• Lead the enhancement of Hadoop-based systems to ensure high availability, fault tolerance, and scalability. Your work will be essential in maintaining reliable performance and preparing the platform for future growth.
• High-Impact Project Delivery:
• Drive key projects focused on improving data processing efficiency and system performance. Your efforts will directly impact the organization's ability to harness large-scale data for insights.
• Innovative Tool Development:
• Design and develop customer-facing tools to streamline data access, management, and user interaction. Enhance the operational efficiency and experience for both internal and external stakeholders.
• System Integration:
• Ensure seamless integration of Hadoop with other platforms and tools. Enable cross-functional teams to effectively leverage data with reduced manual intervention, driving strategic decision-making.

• Bachelor's degree in Computer Science, Information Technology, or related discipline.
• Proven expertise in one or more of the following programming languages: Java, Scala, Python.
• Solid understanding of data structures, algorithms, and performance optimization techniques.
• Hands-on experience with Linux/Unix environments, including shell scripting and core system operations.
• Strong problem-solving and analytical skills, particularly in the context of distributed systems and large-scale data platforms.

• Experience with big data frameworks such as Hive, Spark, or HBase.
• Contributions to open-source projects in the Hadoop or data engineering ecosystem.