Data Reconciliation Specialist
3 days ago
We're seeking a skilled Data Reconciliation Engineer to drive the development of robust data reconciliation solutions within our financial systems. As a key member of our team, you will be responsible for designing, implementing, and maintaining PySpark-based applications to perform complex data reconciliations, identify and resolve discrepancies, and automate data matching processes.
Key Responsibilities:- Data Reconciliation Development: Design, develop, and test PySpark-based applications to automate data reconciliation processes across various financial data sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
- Data Analysis and Matching: Collaborate with business analysts and data architects to understand data requirements and matching criteria. Analyze and interpret data structures, formats, and relationships to implement effective data matching algorithms using PySpark.
- Rules Engine Integration: Integrate PySpark applications with rules engines (e.g., Drools) or equivalent to implement and execute complex data matching rules.
- 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.
- Experience with rules engine integration and development.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills to work effectively with business analysts, data architects, and other team members.
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Data Reconciliation Specialist
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