SPARK Data Reconciliation Engineer

As a PySpark Data Reconciliation Engineer, you will have the following responsibilities: - Utilize your 7+ years of relevant experience in technology and development. - Use either Java or Python as your primary programming language. - Work with BigData, Hadoop, Spark, and Kafka technologies. - Implement APIs and microservices architecture. - Have experience in UI development and integration. To excel in this role, you will need the following qualifications: - Prior experience in the capital market domain. - Knowledge of Regulatory reporting or reconciliations (tech) is highly desirable. - Proven track record of successfully delivering large scale projects with globally distributed teams. - Strong background in applications development and design paradigms. - Previous experience in the data domain would be advantageous. - Demonstrated expertise in stakeholder management and leading global technology teams. - Excellent written and verbal communication skills. If you find the above job description aligning with your skills and experience, this opportunity could be a perfect fit for you.,