Data Engineer

3 weeks ago


GurgaonGurugram, India Uncap Research Labs Full time

Job Description :


Apache Spark :


- Expertise in Spark for large-scale data processing and analytics, including Spark SQL and Spark Streaming.


Apache Kafka :


- Proficiency in Kafka for real-time data streaming, message brokering, and building event-driven architectures.


Apache Cassandra :


- In-depth knowledge of Cassandra for scalable and high-performance distributed database management


Data Volume Management :


- Experience in managing and processing large volumes of data (e.g., 1.8 TB daily) efficiently.


Feature Engineering :


- Ability to build pipelines for feature engineering, integrating and transforming data from diverse source


Batch and Real-Time Processing :


- Proficient in developing and deploying production data pipelines for both batch and real-time data processing.


Pipeline Integration :


- Expertise in integrating data pipelines with various data sources and ensuring smooth data flow.


System Optimization :


- Experience in performance engineering for big data systems, including optimization techniques for both data processing and storage.


Scalable Data Services :


- Ability to architect and design scalable data services that efficiently handle high user demand and large data volumes.


Advanced Knowledge :


- Strong understanding of data structures and algorithms relevant to backend development and big data processing.


Languages :


- Proficiency in languages commonly used for backend development and data processing, such as Java, Scala, Python, or similar.


Tools :


- Familiarity with version control systems (e.g., Git) and deployment processes for managing code and infrastructure changes.

(ref:hirist.tech)

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