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Senior Oracle PL/SQL Developer

2 months ago

Armonk, New York, United States Tata Consultancy Services Full time
Job Description

Sr Oracle PL/SQL Developer

Experience: 8+ years

Responsibilities:

  • Collaborate with stakeholders to gather and understand business requirements, ensuring that solutions align with organizational goals, particularly in the reinsurance domain.
  • Lead the design and development of complex Oracle PL/SQL packages, procedures, and queries, with a strong focus on performance tuning and scalability.
  • Manage data transformation and migration processes, ensuring data integrity and consistency, while handling large data volumes using advanced partitioning techniques.
  • Drive the performance optimization of PL/SQL code by tuning queries and procedures to efficiently manage high data volumes and resolve performance bottlenecks.
  • Implement and debug intricate financial routines, working closely with cross-functional teams to deliver robust solutions.
  • Provide expert insights into PL/SQL best practices, data management strategies, and integration solutions, contributing to technical discussions and solutioning efforts.
  • Work with the change management team to ensure smooth implementation of system changes, adhering to project timelines and maintaining high-quality standards.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
Qualifications:
  • Extensive hands-on experience with Oracle PL/SQL, including performance tuning, dynamic SQL, and advanced query development.
  • Proven ability to manage large volumes of data, with expertise in data partitioning and performance optimization.
  • Strong background in Data Warehousing projects with a deep understanding of Data Warehousing concepts, including ETL processes, data modeling, and data integration.
  • Experience with ETL tools is a plus, with a preference for Informatica PowerCenter.
  • Solid background in data transformation and migration, particularly with complex financial datasets.
  • In-depth understanding of reinsurance processes and valuation systems is highly desirable.
  • Demonstrated leadership in technical discussions and effective collaboration with business stakeholders.
  • Excellent problem-solving skills with a proactive approach to identifying and addressing challenges.