Responsibilities:
Writing clean, efficient, and maintainable code for data pipelines, data processing tasks, and data quality checks. Implementing unit tests and integration tests to ensure code quality and reliability. Troubleshooting and resolving technical issues related to the data framework. Staying abreast of the latest advancements in data engineering technologies and best practices.
Required Skills:
5+ years of experience in data engineering or a related field.
+2 years Framework experience
Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala.
Excellent communication and collaboration skills.
A passion for data engineering and a commitment to continuous learning.
Experience in code review and documentation is a plus.
Experience with cloud platforms like AWS.
Familiarity with data governance and security principles.
Experience with DevOps practices and tools.