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7 days ago
We are looking for a highly skilled Senior Data Engineer to join our team and lead the development of large-scale data systems, real-time streaming solutions, and cloud-based data platforms.
- Main Responsibilities:
- Lead the design and development of scalable, high-performance data architectures on AWS.
- Design and build complex data pipelines using Apache Spark (Scala & PySpark), Kafka Streams (Java), and cloud-native technologies.
- Develop and optimize real-time data streaming applications using Kafka Streams in Java.
- Manage Snowflake for cloud data warehousing, ensuring seamless data integration, query optimization, and advanced analytics.
- Implement Apache Iceberg in Data Lakes for managing large-scale datasets with ACID compliance, schema evolution, and versioning.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in Data Engineering or a related field, with a proven track record of designing, implementing, and maintaining large-scale distributed data systems.
- Proficiency in Apache Spark (Scala & PySpark) for distributed data processing and real-time analytics.
- Hands-on experience with Kafka Streams using Java for real-time data streaming applications.
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