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6 days ago
As a Data Engineer - Real-time Systems, you will play a key role in designing and developing large-scale data infrastructures. This includes creating real-time data processing pipelines using technologies like Kafka, Flink, and Spark.
About the RoleThis is an exciting opportunity to work on complex data engineering projects and contribute to the growth of our organization. Your expertise in data modeling, ETL processes, and data quality assurance will help ensure efficient data processing and decision-making.
Key Responsibilities- Design and develop large-scale data systems
- Develop real-time data processing pipelines using Kafka, Flink, and Spark
- Ensure data quality and efficiency through data modeling, ETL processes, and monitoring
- Collaborate with cross-functional teams to drive business outcomes
- Proficiency in Data Engineering with experience in Kafka, Flink, and Spark
- Expertise in Data Modeling and Design
- Experience with Extract Transform Load (ETL) processes and Data Warehousing
- Strong skills in Data Analytics and problem-solving
- Excellent communication and teamwork abilities
We're looking for someone who is passionate about data engineering, has excellent problem-solving skills, and can collaborate effectively with our team.
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