Data Engineering Specialist

18 hours ago


Toronto, Ontario, Canada Quarry Consulting Full time

About the Role:

We are seeking a highly skilled Data Engineering Specialist to join our team at Quarry Consulting. As a key member of our data engineering team, you will design, develop, and maintain large-scale data pipelines using Apache Kafka. Your expertise in real-time data processing solutions with Apache Flink or Apache Spark will enable us to deliver high-quality data solutions for business needs.

The ideal candidate will have strong proficiency in Java and its related concepts, as well as proven experience building RESTful APIs with Spring Boot. You will work closely with cross-functional teams to ensure optimal performance and scalability of NoSQL databases such as MongoDB and Cassandra.

Key Responsibilities:

  • Design and develop data pipelines using Apache Kafka for handling large volumes of data streams.
  • Implement real-time data processing solutions using Apache Flink or Apache Spark.
  • Build and maintain RESTful APIs using Spring Boot to support data integration across systems.
  • Collaborate with cross-functional teams to deliver high-quality data solutions for business needs.
  • Troubleshoot and optimize existing data pipelines to ensure efficiency and reliability.

Requirements:

  • Experience in data engineering or a related field.
  • Strong proficiency in Apache Kafka for handling large-scale data streams.
  • Expertise in Apache Flink or Apache Spark for real-time and batch data processing.
  • Good understanding of Java and its related concepts.
  • Proven experience building RESTful APIs with Spring Boot.
  • Solid understanding of NoSQL databases (e.g., MongoDB, Cassandra).
  • Familiarity with cloud environments and containerization (e.g., AWS, Docker) is a plus.

What We Offer:

As a Data Engineering Specialist at Quarry Consulting, you can expect a competitive salary of $120,000 - $180,000 per year, commensurate with experience. Our benefits package includes comprehensive health insurance, retirement savings plan, and paid time off. If you are passionate about data engineering and want to be part of a dynamic team, please submit your application.


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