
Real-Time Data Transformation Specialist
1 week ago
Job Title
Transform and Analyze Large-Scale Data in Real-Time Systems
This is a full-time hybrid role for a skilled Data Engineer who will be responsible for creating, maintaining, and optimizing large-scale data infrastructures, developing real-time data processing pipelines using technologies like Kafka, Flink, and Spark.
- Key Responsibilities:
- Design and develop scalable data pipelines that utilize Kafka, Flink, and Spark
- Maintain and optimize existing data infrastructure to ensure seamless performance
- Collaborate with cross-functional teams to guarantee high-quality data and efficient processes
Requirements:
- At least 6 years of experience in Data Engineering with proficiency in programming languages such as Java, Python, or Scala
- Experience with cloud platforms and big data technologies is highly beneficial
Collaborative Environment:
Our team works collaboratively to drive innovation and excellence in our field. As a Data Engineer, you will have the opportunity to work closely with experienced professionals who share your passion for data transformation and analysis.
Professional Growth:
We are committed to supporting the growth and development of our employees through regular training, mentorship programs, and opportunities for advancement.
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