Description

You will design and implement Java-based applications to automate complex data reconciliation processes across financial systems.

Responsibilities

• Develop Java applications to automate data reconciliation across relational databases, NoSQL databases, batch files, and real-time streams.
• Implement data transformation logic and matching algorithms using deterministic and heuristic approaches.
• Integrate Java applications with rules engines like Drools to execute complex matching rules.
• Build error handling and exception management mechanisms to maintain data integrity.
• Collaborate with architects and analysts to resolve data gaps, inconsistencies, and integration challenges.

Required Skills

• 7+ years of hands-on experience in Java development, specifically with data-intensive applications.
• Bachelor's degree in Computer Science or a related field.
• Proficiency in Spring Data, Hibernate, and JDBC.
• Experience integrating Java applications with rules engines such as Drools.
• Strong understanding of data reconciliation principles and matching techniques.
• Ability to translate business requirements into technical data solutions.

Preferred Skills

• Experience with data streaming platforms including Kafka or Kinesis.
• Familiarity with data technologies such as Hadoop or Spark.

Key Skills

Education

Bachelor's degree in Computer Science