
Real-Time Data Transformer
1 week ago
Senior Data Engineer Job Description
About the Job- We are seeking a Senior Data Engineer to join our team, responsible for designing, developing, and deploying scalable, high-performance, real-time data streaming pipelines.
- This role involves implementing and managing our data lakehouse architecture, ensuring data is efficiently stored, organized, and accessible for various analytical and operational use cases.
Key Responsibilities:
- Design and develop data pipelines using Apache Kafka, Apache Flink, or Azure Event Hub technologies.
- Implement and manage our data lake and/or lakehouse architectures, including Hadoop, Delta Lake, Iceberg, and Microsoft OneLake.
- Collaborate with data scientists, analysts, and software engineers to understand data requirements and provide clean, reliable datasets.
- Maintain and troubleshoot our data infrastructure to ensure high availability and data quality.
- Evaluate and adopt new data technologies and tools to enhance our data platform's capabilities.
- Experience working with streaming technologies such as Apache Kafka, Apache Flink, or Azure Event Hub.
- Familiarity with data lake and/or lakehouse architectures, including Hadoop, Delta Lake, Iceberg, and Microsoft OneLake.
This is an excellent opportunity to lead data transformation with a leading corporation. You will get the opportunity to be exposed to multiple advanced data analytics tools.
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