Fullstack Data Engineer

Roles and Responsibility

• Design and develop scalable data pipelines using various technologies.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data systems and architectures.
• Ensure data quality and integrity by implementing robust testing and validation procedures.
• Optimize data processing workflows for improved performance and efficiency.
• Participate in code reviews and contribute to the improvement of the overall codebase.

Job Requirements

• Strong understanding of data engineering principles and practices.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Proficiency in programming languages like Java, Python, or Scala.
• Knowledge of cloud-based platforms such as AWS or Azure.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.