Senior Data Integration Specialist

2 weeks ago

kannur, India beBeeData Full time

Job Title: Senior Data Integration SpecialistThe role of a senior data integration specialist involves designing and developing ETL processes using Oracle Data Integrator to facilitate seamless data integration between various sources and targets.This position requires strong technical skills, including proficiency in SQL and PL/SQL, with hands-on experience in database technologies such as Oracle, SQL Server, or similar. Additionally, the candidate should have a strong understanding of data warehousing concepts and techniques.The ideal candidate will have at least 5 years of experience in data integration projects, with a strong focus on Oracle Data Integrator. They will be responsible for conducting requirements gathering sessions to understand client needs and translate them into technical specifications.The selected candidate will also be expected to optimize existing ODI processes for performance and scalability, ensuring data accuracy and efficiency. They will collaborate with cross-functional teams to implement data management best practices and ensure data quality.In addition, they will troubleshoot and resolve issues related to ODI and data integration workflows as they arise. The candidate will provide technical guidance and mentorship to junior consultants and team members.Key Responsibilities:Design and develop ETL processes using Oracle Data Integrator.Conduct requirements gathering sessions to understand client needs.Optimize existing ODI processes for performance and scalability.Collaborate with cross-functional teams to implement data management best practices.Troubleshoot and resolve issues related to ODI and data integration workflows.Required Skills and Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.Minimum of 5 years of experience in data integration projects, with a strong focus on Oracle Data Integrator.Proficiency in SQL and PL/SQL, with hands-on experience in database technologies such as Oracle, SQL Server, or similar.Strong understanding of data warehousing concepts and techniques.Strong understanding in Python Programming.

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