SPARK Data Reconciliation Engineer

You have an exciting opportunity as a PySpark Data Reconciliation Engineer with 7+ years of relevant experience in technology and development. Your technical skillset should include proficiency in either Java or Python. Additionally, you should have experience with BigData/Hadoop/Spark/Kafka, APIs, and microservices architecture. If you have UI development and integration experience, that would be a plus. In terms of domain expertise, you should have experience in the capital market domain. Prior experience in Regulatory reporting or reconciliations in a tech environment would be highly beneficial. You should have a proven track record of successfully delivering large-scale projects with globally distributed teams. Strong experience in applications development and design paradigms is essential, with previous experience in the data domain being an added advantage. As a PySpark Data Reconciliation Engineer, you should also have experience in stakeholder management and leading global technology teams. Your ability to consistently demonstrate clear and concise written and verbal communication will be crucial for this role.,