Data Reconciliation Engineer

As a PySpark Data Reconciliation Engineer, you should have at least 7 years of relevant experience in technology and development. Your technical skillset should include proficiency in Java or Python, along with hands-on experience in BigData, Hadoop, Spark, and Kafka. Additionally, familiarity with APIs and microservices architecture is essential. If you have UI development and integration experience, it would be considered a strong advantage. Your domain expertise should lie in the capital market domain, with a preference for experience in Regulatory reporting or reconciliations within a technological context. It is crucial to have a proven track record of successfully delivering large-scale projects with globally distributed teams. Your application development skills, design paradigms knowledge, and any previous experience in the data domain would be beneficial for this role. Stakeholder management and the ability to lead a global technology team are key requirements for this position. You should consistently demonstrate clear and concise written and verbal communication skills. If you meet these qualifications and are ready to take on challenging projects in a dynamic environment, we encourage you to apply for this opportunity.,