Senior Software Support Engineer

Project Description: We are currently seeking a highly skilled and motivated individual to join our Research & Analytics IT Production Management Support team (in Middle East). The ideal candidate should possess a technical background with 5-7 years of experience in production support and be ITIL certified. It is essential for the candidate to have a solid understanding of incident, problem, and change management processes. In this role, the successful candidate will play a vital part in ensuring the smooth operation of our production environment leveraging their technical and non-technical skills. Responsibilities: • As a proactive member of the support team maintain the stability of the production environment, effectively managing incidents, problems and changes. • Promptly identify and resolve incidents and issues by applying exceptional problem-solving skills ensuring minimal disruption to operations. • Continuously enhance existing processes and workflows to optimize efficiency and productivity. • Work seamlessly within the agile environment, contributing to product and solution delivery for our esteemed business users. Actively participate in sprints and contribute to CI/CD practices. • Effectively communicate with team members, stakeholders and end users and foster collaboration. • Uphold knowledge management practices to facilitate knowledge capture and sharing. Mandatory Skills Description: • 5y+ hands-on experience in production support, with a proven track record of successfully managing complex environments in investment banks/BFSI companies. • ITIL certification showcasing knowledge and expertise in incident, problem and change management processes. • Familiarity with the financial markets, related data and applications, providing a contextual understanding of the industry. • Bachelor's degree in computer science or related technical discipline, providing a solid foundation for understanding complex technical concepts. • Excellent problem-solving skills with a proactive attitude towards incident resolution and issue identification. • Technical background with a profound understanding of ETL/ELT processes for data transformation. • Proficiency in utilizing PySpark for distributed data processing and analytics. • Advanced expertise in SQL for proficient querying and manipulation of data, guaranteeing accurate and reliable results. • Fundamental proficiency in Python debugging of data transformation issues and scripting automation. • Comprehensive understanding of REST API, enabling seamless integration between internal and external systems. • Proven experience managing SaaS Platforms (interactions between SaaS and IaaS) • Expertise in relevant areas such as data management, data engineering, or financial systems. • Hands-on experience managing big data platform like Palantir Foundry, Databricks. • Proficiency in managing batches in scheduling tools such as StoneBranch, Control-M, ActiveBatch, Autosys. • Proficiency in managing observability tools like Dynatrace/AppDynamics/Geneos. • Expertise in workflow automation applications and tools such as KNIME Analytics, PowerAutomate, Altryx, Informatica) • Experience in managing BI Platforms like MicroStrategy, PowerBI, QlikView, Tableau. • Strong background in working with agile environments, participating in sprints and adhering to CI/CD practices. • Effective communication skills, both written and verbal, enabling effective collaboration and conveyance of ideas and solutions. Nice-to-Have Skills Description:• Certification in Azure Fundamentals, Azure Administrator, Azure DevOps, showcasing proficiency in Cloud technologies.