Data Engineer

We are looking for a highly skilled Data Engineer to join our team, responsible for designing and implementing data pipelines and architectures. The ideal candidate will have a strong background in data engineering and excellent problem-solving skills.

Roles and Responsibility

• Design and implement data pipelines and architectures to support business intelligence and analytics.


• Develop and maintain large-scale data systems, ensuring scalability, reliability, and performance.


• Collaborate with cross-functional teams to identify and prioritize project requirements.


• Ensure data quality and integrity by implementing data validation and testing procedures.


• Optimize data storage and retrieval processes for improved query performance.


• Participate in code reviews to ensure adherence to coding standards and best practices.

Job Requirements

• Strong understanding of data modeling, database design, and data warehousing concepts.


• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.


• Proficiency in programming languages such as Python, Java, or Scala.


• Excellent problem-solving skills and attention to detail.


• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.


• Strong analytical and critical thinking skills, with the ability to make informed decisions.

Data Engineer, Pyspark, ETL