PySpark Data Reconciliation Specialist
1 week ago
We are seeking a highly skilled PySpark Data Reconciliation Engineer to join our Digital Engineering team at Photon. As a key member of our team, you will be responsible for designing, developing, and testing PySpark-based applications to automate data reconciliation processes across various financial data sources.
Key Responsibilities:
- Design and develop efficient data transformation and matching algorithms using PySpark and relevant big data frameworks.
- Implement robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.
- Collaborate with business analysts and data architects to understand data requirements and matching criteria.
Requirements:
- Bachelor's degree in computer science or a related field.
- 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
- Strong understanding of data reconciliation principles, techniques, and best practices.
- Proficiency in PySpark, Apache Spark, and related big data technologies for data processing and integration.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
We are an equal opportunities employer and welcome applications from diverse candidates. If you are a motivated and experienced PySpark Data Reconciliation Engineer looking for a new challenge, please submit your application.
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