Data Engineer
2 days ago
Title: Data Engineer
Location: Old Toronto, ON - 2/3 times a week on-site
Duration: Permanent role FT
Key Responsibilities:
Design, develop, and maintain data pipelines for handling large volumes of data streams using Apache Kafka.
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.
Work with NoSQL databases, ensuring optimal performance and scalability.
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.
Required Skills:
- 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.
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