Job
Description
As a Python, ETL, and PL/SQL Developer joining the Data and Analytics team, you will be responsible for designing, developing, and maintaining ETL processes, data pipelines, and database solutions to meet the growing data needs of the company. Your role will involve a strong understanding of data warehousing concepts, experience with various ETL tools, and proficiency in Python, PL/SQL, and database technologies. **Key Responsibilities:** - Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse. - Write complex SQL queries and PL/SQL scripts for data manipulation, validation, and transformation. - Develop and maintain data pipelines using Python and related libraries such as Polar and Pandas. - Optimize ETL processes and data pipelines for improved performance and scalability. - Collaborate with data analysts and stakeholders to understand data requirements and develop effective solutions. - Implement data quality checks and monitoring procedures to ensure data accuracy and consistency. - Troubleshoot and resolve data-related issues efficiently. - Create and update technical documentation for ETL processes, data pipelines, and database solutions. - Stay informed about the latest trends and technologies in data management and analytics. **Qualifications Required:** - Proficiency in Python, ETL, and PL/SQL. - Strong knowledge of SQL, data warehousing, data modeling, and database management. - Excellent problem-solving skills and ability to communicate effectively. - Proven experience working in a collaborative team environment. - Bachelor's degree or equivalent experience. This job description provides an overview of the primary responsibilities and qualifications required for the role. Additional job-related duties may be assigned as needed by the company. As a Python, ETL, and PL/SQL Developer joining the Data and Analytics team, you will be responsible for designing, developing, and maintaining ETL processes, data pipelines, and database solutions to meet the growing data needs of the company. Your role will involve a strong understanding of data warehousing concepts, experience with various ETL tools, and proficiency in Python, PL/SQL, and database technologies. **Key Responsibilities:** - Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse. - Write complex SQL queries and PL/SQL scripts for data manipulation, validation, and transformation. - Develop and maintain data pipelines using Python and related libraries such as Polar and Pandas. - Optimize ETL processes and data pipelines for improved performance and scalability. - Collaborate with data analysts and stakeholders to understand data requirements and develop effective solutions. - Implement data quality checks and monitoring procedures to ensure data accuracy and consistency. - Troubleshoot and resolve data-related issues efficiently. - Create and update technical documentation for ETL processes, data pipelines, and database solutions. - Stay informed about the latest trends and technologies in data management and analytics. **Qualifications Required:** - Proficiency in Python, ETL, and PL/SQL. - Strong knowledge of SQL, data warehousing, data modeling, and database management. - Excellent problem-solving skills and ability to communicate effectively. - Proven experience working in a collaborative team environment. - Bachelor's degree or equivalent experience. This job description provides an overview of the primary responsibilities and qualifications required for the role. Additional job-related duties may be assigned as needed by the company.
