Source description
About the role
Role Overview: You will contribute to the development and maintenance of data processing pipelines and collaborate with data scientists to ensure smooth and efficient data flow. Key Responsibilities: - Design, develop, and test Python applications for data processing. - Integrate with various data sources such as databases and APIs. - Write clean, efficient, and well-documented code. - Collaborate with data scientists and other engineers. - Implement unit and integration tests. - Deploy and maintain applications in a cloud environment. Qualifications Required: - Bachelor's degree in Computer Science or related field. - Strong Python programming skills. - Experience with data processing frameworks like Pandas and NumPy. - Experience with databases such as SQL and NoSQL. - Experience with version control systems like Git. - Experience with cloud platforms such as AWS, Azure, and GCP. Additional Details of the Company: A typical day in this role might involve working on data processing pipelines, writing and testing code, and collaborating with team members to solve complex problems. The company offers a competitive salary and benefits package, health insurance, paid time off, professional development opportunities, and an excellent work environment. Role Overview: You will contribute to the development and maintenance of data processing pipelines and collaborate with data scientists to ensure smooth and efficient data flow. Key Responsibilities: - Design, develop, and test Python applications for data processing. - Integrate with various data sources such as databases and APIs. - Write clean, efficient, and well-documented code. - Collaborate with data scientists and other engineers. - Implement unit and integration tests. - Deploy and maintain applications in a cloud environment. Qualifications Required: - Bachelor's degree in Computer Science or related field. - Strong Python programming skills. - Experience with data processing frameworks like Pandas and NumPy. - Experience with databases such as SQL and NoSQL. - Experience with version control systems like Git. - Experience with cloud platforms such as AWS, Azure, and GCP. Additional Details of the Company: A typical day in this role might involve working on data processing pipelines, writing and testing code, and collaborating with team members to solve complex problems. The company offers a competitive salary and benefits package, health insurance, paid time off, professional development opportunities, and an excellent work environment.
More at S&P Global