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Role :Data Engineer
Location :as per business needs
About the company and role
PayU is a leading company committed to Company’s mission or purpose. We are seeking a highly motivated Data Engineer to join our team in as per business needs. In this role, you will be responsible for described the primary responsibilities below please have a look. We are looking for individuals with a strong background in Relevant skills or experience mentioned bellow, excellent problem-solving abilities, and a passion for Industry/Fied. If you are a talented and dedicated professional who thrives in a fast-paced environment, we encourage you to apply.
Job Description
PayU, a leading payment and Fintech company within the Prosus group (one of the world's largest technology investors), is revolutionizing online commerce. We operate in 50+ high-growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East, and Africa, serving over 300,000 merchants and millions of consumers. As a premier online payment service provider, we leverage over 400 payment methods and PCI-certified platforms to process approximately 6 million transactions daily. We are seeking a talented Data Engineer to join our team and contribute to our continued growth and innovation.
| Company Name | PayU |
|---|---|
| Role | Data Engineer |
| Location | as per business needs |
| Salary | As per Company norms |
| Job Type | Full time |
Responsibilities
Education Qualification
- All applicants are welcome to apply. Experience in a related field is highly valued, but we are open to considering candidates from diverse backgrounds and experience levels.
Skills
- * Proven expertise in Python, Pandas, data wrangling, ETL processes, Spark statistics, data visualization, data modeling, and Informatica.
- * Significant experience with scalable compute solutions such as Kafka and Snowflake.
- * Strong experience with workflow management libraries and tools including Airflow and AWS Step Functions.
- * Demonstrated proficiency in data engineering best practices, specifically data ingestion pipelines and ETL processes.
- * A solid understanding of machine learning methods, algorithms, pipelines, testing practices, and relevant frameworks.
- * Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related field (a Data Science/AI focus is preferred, but not required). A PhD is also considered.
- * Experience designing and implementing tools to facilitate the sharing of data, code, and best practices across large-scale organizations.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
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- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
