Qualifications

• 5-7 years of experience in software engineering, preferably focused on big data solutions.
• Proficiency in Spark and HBase with hands-on experience in the Hadoop ecosystem.
• Understanding of modern data processing technologies and streaming data architectures.
• Familiarity with agile methodologies and practices.
• Experience with Continuous Integration/Delivery processes is highly regarded.
• Working knowledge of various NoSQL technologies such as column family, graph, and document stores.
• Desirable: background in financial industry applications.

Responsibilities

• Design and develop robust big data platforms using Spark and associated technologies.
• Implement real-time data processing solutions to ensure low-latency system performance.
• Collaborate with cross-functional teams in an agile environment to deliver high-quality software products.
• Maintain and enhance Continuous Integration/Delivery pipelines to streamline development processes.
• Troubleshoot, optimize, and enhance existing software applications for performance and scalability.
• Document designs, processes, and procedures to support team knowledge and future reference.
• Contribute to a culture of software craftsmanship through code reviews and knowledge sharing.

Benefits

• Opportunity for professional growth in a dynamic and innovative environment.
• Access to cutting-edge technology and big data tools.
• Flexible working hours with a focus on work-life balance.
• Collaborative team culture with a commitment to agile methodologies.
• Potential for involvement in projects impacting the financial sector.