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Job Description
Must Have Technical/Functional Skills
Expected to design, develop, and maintain robust ETL pipelines using Python and PL/SQL, ensuring accurate, reliable, and scalable data movement across systems.
Responsible for implementing data transformations, validations, and performanceoptimized SQL/PLSQL logic, while collaborating closely with upstream and downstream teams to support analytics and business reporting needs.
Roles & Responsibilities
Design, develop, and maintain endtoend ETL pipelines to ingest, transform, and load data from multiple source systems into target platforms.
Build and optimize data processing logic using Python and PL/SQL, ensuring performance, scalability, and reliability.
Develop and maintain PL/SQL procedures, packages, and complex SQL queries for data transformation, validation, and reconciliation.
Implement data quality checks, validations, and exception handling to ensure accuracy and consistency of data.
Tune ETL jobs, SQL queries, and database objects to support highvolume and performancecritical workloads.
Collaborate with application, reporting, and analytics teams to support downstream consumption and business requirements.
Support production deployments, monitoring, and issue resolution, including rootcause analysis for datarelated incidents.
Generic Managerial Skills, If any
5 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Job Description
Must Have Technical/Functional Skills
Expected to design, develop, and maintain robust ETL pipelines using Python and PL/SQL, ensuring accurate, reliable, and scalable data movement across systems.
Responsible for implementing data transformations, validations, and performanceoptimized SQL/PLSQL logic, while collaborating closely with upstream and downstream teams to support analytics and business reporting needs.
Roles & Responsibilities
Design, develop, and maintain endtoend ETL pipelines to ingest, transform, and load data from multiple source systems into target platforms.
Build and optimize data processing logic using Python and PL/SQL, ensuring performance, scalability, and reliability.
Develop and maintain PL/SQL procedures, packages, and complex SQL queries for data transformation, validation, and reconciliation.
Implement data quality checks, validations, and exception handling to ensure accuracy and consistency of data.
Tune ETL jobs, SQL queries, and database objects to support highvolume and performancecritical workloads.
Collaborate with application, reporting, and analytics teams to support downstream consumption and business requirements.
Support production deployments, monitoring, and issue resolution, including rootcause analysis for datarelated incidents.
Generic Managerial Skills, If any
5 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements