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We are seeking a skilled and motivated Python, ETL, and PL/SQL Developer to join our Data and Analytics team. Candidate should have 8-12 years of industry experience on data technologies. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, data pipelines, and database solutions to support our growing data needs. This role requires a strong understanding of data warehousing concepts, experience with various ETL tools, and proficiency in Python, PL/SQL, and database technologies. Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering
Job Responsibility:
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse
Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation
Develop and maintain data pipelines using Python and related libraries
Optimize ETL processes and data pipelines for performance and scalability
Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs
Implement data quality checks and monitoring to ensure data accuracy and consistency
Troubleshoot and resolve data-related issues
Create and maintain technical documentation for ETL processes, data pipelines, and database solutions
Stay up-to-date with the latest trends and technologies in data management and analytics
Requirements:
8+ years of relevant experience
Bachelor’s degree/University degree or equivalent experience
Strong understanding of data warehousing concepts
Experience with various ETL tools
Proficiency in Python, PL/SQL, and database technologies
Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering