- Design, develop, test, deploy and maintain large-scale data pipelines using Python programming language.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.
- Troubleshoot complex issues related to data processing, analysis, and visualization using NumPy and Pandas libraries.
- Ensure scalability, reliability, and performance of the system by implementing efficient algorithms and optimizing database queries.
Job Requirements :
- 4-9 years of experience in Data Engineering with expertise in Python development.
- Solid understanding of NumPy and Pandas libraries for data manipulation and analysis.
- Experience working with big data technologies such as Hadoop or Spark is a plus.