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Data Engineer (7-10 Years Exp):
Job Title: Python, ETL, AI Engineering (Optional) and PL/SQL Developer
Job Description:
We are seeking a skilled and motivated Python, ETL, and PL/SQL Developer to join our Data and Analytics team. 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
Responsibilities:
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 (e.g., Polar ,Pandas). 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.
Skills: Python ETL PL/SQL SQL Data Warehousing Data Modeling Database Management Problem Solving Communication Teamwork
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Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
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Data Engineer (7-10 Years Exp):
Job Title: Python, ETL, AI Engineering (Optional) and PL/SQL Developer
Job Description:
We are seeking a skilled and motivated Python, ETL, and PL/SQL Developer to join our Data and Analytics team. 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
Responsibilities:
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 (e.g., Polar ,Pandas). 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.
Skills: Python ETL PL/SQL SQL Data Warehousing Data Modeling Database Management Problem Solving Communication Teamwork
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Global financial services organization enabling growth and economic progress.
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Senior · 7+ years experience
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