Real-Time Data Engineer

Job Summary

A company is looking for a Real-Time Data Engineer (Flink / Spark Streaming).

Key Responsibilities

• Develop and maintain real-time data processing systems using Apache Flink and Spark Streaming
• Design and implement scalable, low-latency streaming platforms for data ingestion and processing
• Collaborate with cross-functional teams to optimize data workflows and ensure system reliability

Required Qualifications

• 3 to 5 years of experience in real-time data engineering
• Proficiency in Apache Flink, Spark Streaming, and Apache Kafka
• Experience with cloud platforms such as AWS, Azure, or GCP
• Strong knowledge of programming languages like Java, Scala, or Python
• Familiarity with CI/CD pipelines and Agile methodologies